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Publisher: John Wiley and Sons   (Total: 1589 journals)

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Showing 1 - 200 of 1589 Journals sorted alphabetically
Abacus     Hybrid Journal   (Followers: 12, SJR: 0.48, h-index: 22)
About Campus     Hybrid Journal   (Followers: 5)
Academic Emergency Medicine     Hybrid Journal   (Followers: 65, SJR: 1.385, h-index: 91)
Accounting & Finance     Hybrid Journal   (Followers: 48, SJR: 0.547, h-index: 30)
ACEP NOW     Free   (Followers: 1)
Acta Anaesthesiologica Scandinavica     Hybrid Journal   (Followers: 53, SJR: 1.02, h-index: 88)
Acta Archaeologica     Hybrid Journal   (Followers: 169, SJR: 0.101, h-index: 9)
Acta Geologica Sinica (English Edition)     Hybrid Journal   (Followers: 3, SJR: 0.552, h-index: 41)
Acta Neurologica Scandinavica     Hybrid Journal   (Followers: 5, SJR: 1.203, h-index: 74)
Acta Obstetricia et Gynecologica Scandinavica     Hybrid Journal   (Followers: 15, SJR: 1.197, h-index: 81)
Acta Ophthalmologica     Hybrid Journal   (Followers: 6, SJR: 0.112, h-index: 1)
Acta Paediatrica     Hybrid Journal   (Followers: 56, SJR: 0.794, h-index: 88)
Acta Physiologica     Hybrid Journal   (Followers: 6, SJR: 1.69, h-index: 88)
Acta Polymerica     Hybrid Journal   (Followers: 9)
Acta Psychiatrica Scandinavica     Hybrid Journal   (Followers: 37, SJR: 2.518, h-index: 113)
Acta Zoologica     Hybrid Journal   (Followers: 7, SJR: 0.459, h-index: 29)
Acute Medicine & Surgery     Hybrid Journal   (Followers: 5)
Addiction     Hybrid Journal   (Followers: 36, SJR: 2.086, h-index: 143)
Addiction Biology     Hybrid Journal   (Followers: 14, SJR: 2.091, h-index: 57)
Adultspan J.     Hybrid Journal   (SJR: 0.127, h-index: 4)
Advanced Energy Materials     Hybrid Journal   (Followers: 26, SJR: 6.411, h-index: 86)
Advanced Engineering Materials     Hybrid Journal   (Followers: 26, SJR: 0.81, h-index: 81)
Advanced Functional Materials     Hybrid Journal   (Followers: 51, SJR: 5.21, h-index: 203)
Advanced Healthcare Materials     Hybrid Journal   (Followers: 14, SJR: 0.232, h-index: 7)
Advanced Materials     Hybrid Journal   (Followers: 298, SJR: 9.021, h-index: 345)
Advanced Materials Interfaces     Hybrid Journal   (Followers: 6, SJR: 1.177, h-index: 10)
Advanced Optical Materials     Hybrid Journal   (Followers: 7, SJR: 2.488, h-index: 21)
Advanced Science     Open Access   (Followers: 5)
Advanced Synthesis & Catalysis     Hybrid Journal   (Followers: 17, SJR: 2.729, h-index: 121)
Advances in Polymer Technology     Hybrid Journal   (Followers: 13, SJR: 0.344, h-index: 31)
Africa Confidential     Hybrid Journal   (Followers: 21)
Africa Research Bulletin: Economic, Financial and Technical Series     Hybrid Journal   (Followers: 13)
Africa Research Bulletin: Political, Social and Cultural Series     Hybrid Journal   (Followers: 10)
African Development Review     Hybrid Journal   (Followers: 33, SJR: 0.275, h-index: 17)
African J. of Ecology     Hybrid Journal   (Followers: 16, SJR: 0.477, h-index: 39)
Aggressive Behavior     Hybrid Journal   (Followers: 15, SJR: 1.391, h-index: 66)
Aging Cell     Open Access   (Followers: 11, SJR: 4.374, h-index: 95)
Agribusiness : an Intl. J.     Hybrid Journal   (Followers: 3, SJR: 0.627, h-index: 14)
Agricultural and Forest Entomology     Hybrid Journal   (Followers: 16, SJR: 0.925, h-index: 43)
Agricultural Economics     Hybrid Journal   (Followers: 45, SJR: 1.099, h-index: 51)
AIChE J.     Hybrid Journal   (Followers: 32, SJR: 1.122, h-index: 120)
Alcoholism and Drug Abuse Weekly     Hybrid Journal   (Followers: 7)
Alcoholism Clinical and Experimental Research     Hybrid Journal   (Followers: 7, SJR: 1.416, h-index: 125)
Alimentary Pharmacology & Therapeutics     Hybrid Journal   (Followers: 33, SJR: 2.833, h-index: 138)
Alimentary Pharmacology & Therapeutics Symposium Series     Hybrid Journal   (Followers: 3)
Allergy     Hybrid Journal   (Followers: 51, SJR: 3.048, h-index: 129)
Alternatives to the High Cost of Litigation     Hybrid Journal   (Followers: 3)
American Anthropologist     Hybrid Journal   (Followers: 152, SJR: 0.951, h-index: 61)
American Business Law J.     Hybrid Journal   (Followers: 24, SJR: 0.205, h-index: 17)
American Ethnologist     Hybrid Journal   (Followers: 93, SJR: 2.325, h-index: 51)
American J. of Economics and Sociology     Hybrid Journal   (Followers: 29, SJR: 0.211, h-index: 26)
American J. of Hematology     Hybrid Journal   (Followers: 35, SJR: 1.761, h-index: 77)
American J. of Human Biology     Hybrid Journal   (Followers: 13, SJR: 1.018, h-index: 58)
American J. of Industrial Medicine     Hybrid Journal   (Followers: 16, SJR: 0.993, h-index: 85)
American J. of Medical Genetics Part A     Hybrid Journal   (Followers: 16, SJR: 1.115, h-index: 61)
American J. of Medical Genetics Part B: Neuropsychiatric Genetics     Hybrid Journal   (Followers: 4, SJR: 1.771, h-index: 107)
American J. of Medical Genetics Part C: Seminars in Medical Genetics     Partially Free   (Followers: 6, SJR: 2.315, h-index: 79)
American J. of Physical Anthropology     Hybrid Journal   (Followers: 37, SJR: 1.41, h-index: 88)
American J. of Political Science     Hybrid Journal   (Followers: 288, SJR: 5.101, h-index: 114)
American J. of Primatology     Hybrid Journal   (Followers: 15, SJR: 1.197, h-index: 63)
American J. of Reproductive Immunology     Hybrid Journal   (Followers: 3, SJR: 1.347, h-index: 75)
American J. of Transplantation     Hybrid Journal   (Followers: 18, SJR: 2.792, h-index: 140)
American J. on Addictions     Hybrid Journal   (Followers: 9, SJR: 0.843, h-index: 57)
Anaesthesia     Hybrid Journal   (Followers: 139, SJR: 1.404, h-index: 88)
Analyses of Social Issues and Public Policy     Hybrid Journal   (Followers: 9, SJR: 0.397, h-index: 18)
Analytic Philosophy     Hybrid Journal   (Followers: 20)
Anatomia, Histologia, Embryologia: J. of Veterinary Medicine Series C     Hybrid Journal   (Followers: 3, SJR: 0.295, h-index: 27)
Anatomical Sciences Education     Hybrid Journal   (Followers: 1, SJR: 0.633, h-index: 24)
Andrologia     Hybrid Journal   (Followers: 2, SJR: 0.528, h-index: 45)
Andrology     Hybrid Journal   (Followers: 2, SJR: 0.979, h-index: 14)
Angewandte Chemie     Hybrid Journal   (Followers: 178)
Angewandte Chemie Intl. Edition     Hybrid Journal   (Followers: 229, SJR: 6.229, h-index: 397)
Animal Conservation     Hybrid Journal   (Followers: 41, SJR: 1.576, h-index: 62)
Animal Genetics     Hybrid Journal   (Followers: 8, SJR: 0.957, h-index: 67)
Animal Science J.     Hybrid Journal   (Followers: 6, SJR: 0.569, h-index: 24)
Annalen der Physik     Hybrid Journal   (Followers: 5, SJR: 1.46, h-index: 40)
Annals of Anthropological Practice     Partially Free   (Followers: 2, SJR: 0.187, h-index: 5)
Annals of Applied Biology     Hybrid Journal   (Followers: 7, SJR: 0.816, h-index: 56)
Annals of Clinical and Translational Neurology     Open Access   (Followers: 1)
Annals of Human Genetics     Hybrid Journal   (Followers: 9, SJR: 1.191, h-index: 67)
Annals of Neurology     Hybrid Journal   (Followers: 48, SJR: 5.584, h-index: 241)
Annals of Noninvasive Electrocardiology     Hybrid Journal   (Followers: 1, SJR: 0.531, h-index: 38)
Annals of Public and Cooperative Economics     Hybrid Journal   (Followers: 8, SJR: 0.336, h-index: 23)
Annals of the New York Academy of Sciences     Hybrid Journal   (Followers: 5, SJR: 2.389, h-index: 189)
Annual Bulletin of Historical Literature     Hybrid Journal   (Followers: 13)
Annual Review of Information Science and Technology     Hybrid Journal   (Followers: 14)
Anthropology & Education Quarterly     Hybrid Journal   (Followers: 25, SJR: 0.72, h-index: 31)
Anthropology & Humanism     Hybrid Journal   (Followers: 17, SJR: 0.137, h-index: 3)
Anthropology News     Hybrid Journal   (Followers: 15)
Anthropology of Consciousness     Hybrid Journal   (Followers: 11, SJR: 0.172, h-index: 5)
Anthropology of Work Review     Hybrid Journal   (Followers: 11, SJR: 0.256, h-index: 5)
Anthropology Today     Hybrid Journal   (Followers: 91, SJR: 0.545, h-index: 15)
Antipode     Hybrid Journal   (Followers: 50, SJR: 2.212, h-index: 69)
Anz J. of Surgery     Hybrid Journal   (Followers: 8, SJR: 0.432, h-index: 59)
Anzeiger für Schädlingskunde     Hybrid Journal   (Followers: 1)
Apmis     Hybrid Journal   (Followers: 1, SJR: 0.855, h-index: 73)
Applied Cognitive Psychology     Hybrid Journal   (Followers: 70, SJR: 0.754, h-index: 69)
Applied Organometallic Chemistry     Hybrid Journal   (Followers: 7, SJR: 0.632, h-index: 58)
Applied Psychology     Hybrid Journal   (Followers: 211, SJR: 1.023, h-index: 64)
Applied Psychology: Health and Well-Being     Hybrid Journal   (Followers: 50, SJR: 0.868, h-index: 13)
Applied Stochastic Models in Business and Industry     Hybrid Journal   (Followers: 5, SJR: 0.613, h-index: 24)
Aquaculture Nutrition     Hybrid Journal   (Followers: 14, SJR: 1.025, h-index: 55)
Aquaculture Research     Hybrid Journal   (Followers: 31, SJR: 0.807, h-index: 60)
Aquatic Conservation Marine and Freshwater Ecosystems     Hybrid Journal   (Followers: 36, SJR: 1.047, h-index: 57)
Arabian Archaeology and Epigraphy     Hybrid Journal   (Followers: 11, SJR: 0.453, h-index: 11)
Archaeological Prospection     Hybrid Journal   (Followers: 12, SJR: 0.922, h-index: 21)
Archaeology in Oceania     Hybrid Journal   (Followers: 13, SJR: 0.745, h-index: 18)
Archaeometry     Hybrid Journal   (Followers: 28, SJR: 0.809, h-index: 48)
Archeological Papers of The American Anthropological Association     Hybrid Journal   (Followers: 15, SJR: 0.156, h-index: 2)
Architectural Design     Hybrid Journal   (Followers: 26, SJR: 0.261, h-index: 9)
Archiv der Pharmazie     Hybrid Journal   (Followers: 3, SJR: 0.628, h-index: 43)
Archives of Drug Information     Hybrid Journal   (Followers: 5)
Archives of Insect Biochemistry and Physiology     Hybrid Journal   (SJR: 0.768, h-index: 54)
Area     Hybrid Journal   (Followers: 13, SJR: 0.938, h-index: 57)
Art History     Hybrid Journal   (Followers: 277, SJR: 0.153, h-index: 13)
Arthritis & Rheumatology     Hybrid Journal   (Followers: 54, SJR: 1.984, h-index: 20)
Arthritis Care & Research     Hybrid Journal   (Followers: 27, SJR: 2.256, h-index: 114)
Artificial Organs     Hybrid Journal   (Followers: 1, SJR: 0.872, h-index: 60)
ASHE Higher Education Reports     Hybrid Journal   (Followers: 15)
Asia & the Pacific Policy Studies     Open Access   (Followers: 16)
Asia Pacific J. of Human Resources     Hybrid Journal   (Followers: 325, SJR: 0.494, h-index: 19)
Asia Pacific Viewpoint     Hybrid Journal   (Followers: 1, SJR: 0.616, h-index: 26)
Asia-Pacific J. of Chemical Engineering     Hybrid Journal   (Followers: 8, SJR: 0.345, h-index: 20)
Asia-pacific J. of Clinical Oncology     Hybrid Journal   (Followers: 6, SJR: 0.554, h-index: 14)
Asia-Pacific J. of Financial Studies     Hybrid Journal   (SJR: 0.241, h-index: 7)
Asia-Pacific Psychiatry     Hybrid Journal   (Followers: 4, SJR: 0.377, h-index: 7)
Asian Economic J.     Hybrid Journal   (Followers: 8, SJR: 0.234, h-index: 21)
Asian Economic Policy Review     Hybrid Journal   (Followers: 4, SJR: 0.196, h-index: 12)
Asian J. of Control     Hybrid Journal   (SJR: 0.862, h-index: 34)
Asian J. of Endoscopic Surgery     Hybrid Journal   (Followers: 1, SJR: 0.394, h-index: 7)
Asian J. of Organic Chemistry     Hybrid Journal   (Followers: 6, SJR: 1.443, h-index: 19)
Asian J. of Social Psychology     Hybrid Journal   (Followers: 5, SJR: 0.665, h-index: 37)
Asian Politics and Policy     Hybrid Journal   (Followers: 12, SJR: 0.207, h-index: 7)
Asian Social Work and Policy Review     Hybrid Journal   (Followers: 5, SJR: 0.318, h-index: 5)
Asian-pacific Economic Literature     Hybrid Journal   (Followers: 5, SJR: 0.168, h-index: 15)
Assessment Update     Hybrid Journal   (Followers: 4)
Astronomische Nachrichten     Hybrid Journal   (Followers: 3, SJR: 0.701, h-index: 40)
Atmospheric Science Letters     Open Access   (Followers: 29, SJR: 1.332, h-index: 27)
Austral Ecology     Hybrid Journal   (Followers: 15, SJR: 1.095, h-index: 66)
Austral Entomology     Hybrid Journal   (Followers: 9, SJR: 0.524, h-index: 28)
Australasian J. of Dermatology     Hybrid Journal   (Followers: 8, SJR: 0.714, h-index: 40)
Australasian J. On Ageing     Hybrid Journal   (Followers: 6, SJR: 0.39, h-index: 22)
Australian & New Zealand J. of Statistics     Hybrid Journal   (Followers: 14, SJR: 0.275, h-index: 28)
Australian Accounting Review     Hybrid Journal   (Followers: 3, SJR: 0.709, h-index: 14)
Australian and New Zealand J. of Family Therapy (ANZJFT)     Hybrid Journal   (Followers: 3, SJR: 0.382, h-index: 12)
Australian and New Zealand J. of Obstetrics and Gynaecology     Hybrid Journal   (Followers: 47, SJR: 0.814, h-index: 49)
Australian and New Zealand J. of Public Health     Hybrid Journal   (Followers: 11, SJR: 0.82, h-index: 62)
Australian Dental J.     Hybrid Journal   (Followers: 6, SJR: 0.482, h-index: 46)
Australian Economic History Review     Hybrid Journal   (Followers: 6, SJR: 0.171, h-index: 12)
Australian Economic Papers     Hybrid Journal   (Followers: 31, SJR: 0.23, h-index: 9)
Australian Economic Review     Hybrid Journal   (Followers: 6, SJR: 0.357, h-index: 21)
Australian Endodontic J.     Hybrid Journal   (Followers: 3, SJR: 0.513, h-index: 24)
Australian J. of Agricultural and Resource Economics     Hybrid Journal   (Followers: 3, SJR: 0.765, h-index: 36)
Australian J. of Grape and Wine Research     Hybrid Journal   (Followers: 5, SJR: 0.879, h-index: 56)
Australian J. of Politics & History     Hybrid Journal   (Followers: 15, SJR: 0.203, h-index: 14)
Australian J. of Psychology     Hybrid Journal   (Followers: 18, SJR: 0.384, h-index: 30)
Australian J. of Public Administration     Hybrid Journal   (Followers: 420, SJR: 0.418, h-index: 29)
Australian J. of Rural Health     Hybrid Journal   (Followers: 5, SJR: 0.43, h-index: 34)
Australian Occupational Therapy J.     Hybrid Journal   (Followers: 71, SJR: 0.59, h-index: 29)
Australian Psychologist     Hybrid Journal   (Followers: 12, SJR: 0.331, h-index: 31)
Australian Veterinary J.     Hybrid Journal   (Followers: 22, SJR: 0.459, h-index: 45)
Autism Research     Hybrid Journal   (Followers: 36, SJR: 2.126, h-index: 39)
Autonomic & Autacoid Pharmacology     Hybrid Journal   (SJR: 0.371, h-index: 29)
Banks in Insurance Report     Hybrid Journal   (Followers: 1)
Basic & Clinical Pharmacology & Toxicology     Hybrid Journal   (Followers: 11, SJR: 0.539, h-index: 70)
Basic and Applied Pathology     Open Access   (Followers: 2, SJR: 0.113, h-index: 4)
Basin Research     Hybrid Journal   (Followers: 5, SJR: 1.54, h-index: 60)
Bauphysik     Hybrid Journal   (Followers: 2, SJR: 0.194, h-index: 5)
Bauregelliste A, Bauregelliste B Und Liste C     Hybrid Journal  
Bautechnik     Hybrid Journal   (Followers: 1, SJR: 0.321, h-index: 11)
Behavioral Interventions     Hybrid Journal   (Followers: 9, SJR: 0.297, h-index: 23)
Behavioral Sciences & the Law     Hybrid Journal   (Followers: 24, SJR: 0.736, h-index: 57)
Berichte Zur Wissenschaftsgeschichte     Hybrid Journal   (Followers: 10, SJR: 0.11, h-index: 5)
Beton- und Stahlbetonbau     Hybrid Journal   (Followers: 2, SJR: 0.493, h-index: 14)
Biochemistry and Molecular Biology Education     Hybrid Journal   (Followers: 6, SJR: 0.311, h-index: 26)
Bioelectromagnetics     Hybrid Journal   (Followers: 1, SJR: 0.568, h-index: 64)
Bioengineering & Translational Medicine     Open Access  
BioEssays     Hybrid Journal   (Followers: 10, SJR: 3.104, h-index: 155)
Bioethics     Hybrid Journal   (Followers: 14, SJR: 0.686, h-index: 39)
Biofuels, Bioproducts and Biorefining     Hybrid Journal   (Followers: 1, SJR: 1.725, h-index: 56)
Biological J. of the Linnean Society     Hybrid Journal   (Followers: 16, SJR: 1.172, h-index: 90)
Biological Reviews     Hybrid Journal   (Followers: 5, SJR: 6.469, h-index: 114)
Biologie in Unserer Zeit (Biuz)     Hybrid Journal   (Followers: 41, SJR: 0.12, h-index: 1)
Biology of the Cell     Full-text available via subscription   (Followers: 9, SJR: 1.812, h-index: 69)
Biomedical Chromatography     Hybrid Journal   (Followers: 6, SJR: 0.572, h-index: 49)
Biometrical J.     Hybrid Journal   (Followers: 5, SJR: 0.784, h-index: 44)
Biometrics     Hybrid Journal   (Followers: 37, SJR: 1.906, h-index: 96)
Biopharmaceutics and Drug Disposition     Hybrid Journal   (Followers: 10, SJR: 0.715, h-index: 44)
Biopolymers     Hybrid Journal   (Followers: 18, SJR: 1.199, h-index: 104)
Biotechnology and Applied Biochemistry     Hybrid Journal   (Followers: 44, SJR: 0.415, h-index: 55)
Biotechnology and Bioengineering     Hybrid Journal   (Followers: 152, SJR: 1.633, h-index: 146)
Biotechnology J.     Hybrid Journal   (Followers: 14, SJR: 1.185, h-index: 51)
Biotechnology Progress     Hybrid Journal   (Followers: 39, SJR: 0.736, h-index: 101)
Biotropica     Hybrid Journal   (Followers: 20, SJR: 1.374, h-index: 71)
Bipolar Disorders     Hybrid Journal   (Followers: 9, SJR: 2.592, h-index: 100)
Birth     Hybrid Journal   (Followers: 38, SJR: 0.763, h-index: 64)
Birth Defects Research Part A : Clinical and Molecular Teratology     Hybrid Journal   (Followers: 2, SJR: 0.727, h-index: 77)
Birth Defects Research Part B: Developmental and Reproductive Toxicology     Hybrid Journal   (Followers: 7, SJR: 0.468, h-index: 47)
Birth Defects Research Part C : Embryo Today : Reviews     Hybrid Journal   (SJR: 1.513, h-index: 55)
BJOG : An Intl. J. of Obstetrics and Gynaecology     Partially Free   (Followers: 248, SJR: 2.083, h-index: 125)

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Journal Cover Asian Journal of Control
  [SJR: 0.862]   [H-I: 34]   [0 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1561-8625 - ISSN (Online) 1934-6093
   Published by John Wiley and Sons Homepage  [1589 journals]
  • Stability Analysis and L2-gain of Switched Neutral Systems with All
           Unstable Subsystems
    • Authors: Haiyan Wang; Baowei Wu, Yue-E Wang
      Abstract: The stability analysis and L2-gain for a class of switched neutral systems with all unstable subsystems are investigated in this paper. By constructing the discretized multiple Lyapunov-Krasovskii functional and resorting to the time-driven switching signals, sufficient conditions for exponential stability and weighted L2-gain are developed for a class of switched neutral systems, where all subsystems are unstable. It should be pointed out that all the Lyapunov-Krasovskii functional energies are allowed to increase during the running intervals of the active subsystems. Furthermore, all the conditions are formulated in forms of a set of linear matrix inequalities which can be easily solved by using the recently developed interior point method. Finally, two numerical examples are provided to show the effectiveness of the proposed approach.
      PubDate: 2018-01-12T09:30:28.946907-05:
      DOI: 10.1002/asjc.1741
  • Distributed H∞ Consensus Fault Detection for Uncertain t-s Fuzzy Systems
           with Time-Varying Delays Over Lossy Sensor Networks
    • Authors: Shenquan Wang; Yulian Jiang, Yuanchun Li
      Abstract: This paper investigates the issue of distributed H∞ consensus fault detection (FD) for uncertain T-S fuzzy systems with time-varying delays over lossy sensor networks. One set of Bernoulli distributed white sequence is introduced to govern the multiple probabilistic packet losses over sensor network. The augment fault detection dynamics system is first transformed into the form of interconnect ion of two subsystems by applying an input-output method. Through available output measurements from not only the individual sensor but also its neighboring sensors, a sufficient condition is established for the desired of distributed H∞ consensus fuzzy fault detection filter (FFDF) to ensure the fault detection dynamics system to be mean-square asymptotically stable with an average performance. At the same time, the solution of the parameters for the distributed H∞ consensus FFDF is characterized in terms of the feasibility of a convex optimization problem. Finally, an illustrative example is provided to illustrate the effectiveness of the proposed approaches over the lossy sensor networks.
      PubDate: 2018-01-12T08:25:37.498457-05:
      DOI: 10.1002/asjc.1721
  • Economic Optimization and Control Based on Multi Priority Rank RTO and
           Double Layered MPC
    • Authors: Hong-Guang Pan; Weimin Zhong, Zai-Ying Wang
      Abstract: A prevailing hierarchical structure in industrial process optimization and control includes three levels, i.e., a real time optimization (RTO) level, a double layered model predictive control (MPC) level (which is composed of a steady-state target calculation (SSTC) layer and a dynamic control layer), and a distributed control level. In this paper, a multi priority rank RTO algorithm, in which a new variable is introduced to uniformly express the set points, is presented to get optimal set points according to their importance levels. In order to guarantee the feasibility of the dynamic control layer during tracking the steady-state targets calculated in SSTC layer, the region of attraction is added into the SSTC layer as additional constraints, hence, the steady-state targets can be calculated online and transmitted to the dynamic control layer at each instant to guide the state to achieve the steady-state state gradually. The effect of the above methods are illustrated through an example.
      PubDate: 2018-01-12T08:25:29.228701-05:
      DOI: 10.1002/asjc.1730
  • Issue Information
    • Abstract: No abstract is available for this article.
      PubDate: 2018-01-11T01:57:54.668419-05:
      DOI: 10.1002/asjc.1663
  • Input-Output Decoupling of Boolean Control Networks
    • Authors: Jinfeng Pan; Jun-E Feng, Juan Yao, Jianli Zhao
      Abstract: This paper is devoted to the input-output decoupling problem of Boolean control networks (BCNs). First, a necessary and sufficient condition for the existence of comparable output subspaces is obtained as well as an algorithm to construct the comparable output subspaces. Then, two kinds of controllers are designed to solve the decoupling problem, including open-loop controller and state feedback controller. Finally, an example is given to illustrate the effectiveness of the proposed method.
      PubDate: 2018-01-09T03:51:12.678655-05:
      DOI: 10.1002/asjc.1722
  • A Wavelet Packet Tree Denoising Algorithm for Images of Atomic-Force
    • Authors: Manuel Schimmack; Paolo Mercorelli
      Abstract: A threshold-free denoising procedure of acquired discrete Atomic-force microscopy (AFM) signals using the discrete wavelet transform (DWT) method is presented in this article. The integration of a denoising procedure into a control structure is extremely important for each kind of system to be controlled. The detection of unavoidable measurement noise in the acquired data of the AFM signal is done by using orthogonal wavelets (Daubechies and Symmlet) and with different polynomial approximation order for each family. The proposed denoising algorithm, based on the free wavelet toolboxes from the WaveLab 850 library of the Stanford University (USA), compares the usefulness of Daubechies and Symmlet wavelets with different vanishing moments. With the help of a seminorm the noise of a sequence is defined as a coherent and incoherent part of the AFM signal. In the first step of the procedure the algorithm analyzes the frequency subspaces of the wavelet packets tree and searches for small or opposing components in the wavelet domains. In the second step of the procedure the incoherent components in the low- and high frequency domains are localized and the incoherent is then removed from the AFM signal. The proposed algorithm structure is used to improve the quality of the AFM signals and it can be easily integrated into the existing AFM control hard- and software structures. The effectiveness of the proposed denoising algorithm is validated with real measurements.
      PubDate: 2018-01-09T03:35:49.472883-05:
      DOI: 10.1002/asjc.1718
  • Finite-Time Synchronization of Complex-Valued Delayed Neural Networks with
           Discontinuous Activations
    • Authors: Enli Wu; Xinsong Yang, Chen Xu, Fuad E. Alsaadi, Tasawar Hayat
      Abstract: In this paper, finite-time synchronization for a class of complex-valued neural networks with time delays and discontinuous activations is concerned under the framework of Filippov solutions. Both state feedback and adaptive controllers are designed to overcome the difficulties in dealing with the time delay and the uncertainties of Filippov solutions. Based on the concept of Filippov solutions, differential inclusion and structuring suitable Lyapunov-Krasovskii functionals, some sufficient conditions are obtained to guarantee that a controlled response system is synchronized with a driving system in a finite time. Finally, numerical simulations are given to show the effectiveness of the theoretical results.
      PubDate: 2018-01-05T05:57:15.140217-05:
      DOI: 10.1002/asjc.1725
  • Finite-Time Scaled Consensus in Discrete-Time Networks of Agents
    • Authors: Yilun Shang
      Abstract: This brief paper deals with finite-time scaled consensus to assigned portions using linear iterations. If the network topology is modeled by a connected bidirectional network, we show that scaled consensus can always be reached in a finite time using state-transition matrices consistent with the network structure. The final scaled consensus states are also identified. A numerical example is given to illustrate the theoretical result.
      PubDate: 2018-01-05T05:50:29.494277-05:
      DOI: 10.1002/asjc.1727
  • Event-Triggered Fault Detection for Networked Control Systems Subject to
           Packet Dropout
    • Authors: M. Atitallah; M. Davoodi, N. Meskin
      Abstract: This paper investigates the problem of event-triggered fault detection for discrete-time networked systems subject to packet dropout. The main aim of the proposed approach is to efficiently use the communication network and reduce the signal transmission over the network. Toward this goal, a dynamic parity space event-triggered fault detection approach is developed to generate a robust residual signal. Moreover, an adaptive threshold is utilized to overcome the limitations of static thresholds. The efficiency of proposed approach is experimentally demonstrated and validated for a laboratory three-tank system.
      PubDate: 2018-01-03T06:42:28.412532-05:
      DOI: 10.1002/asjc.1716
  • A Cross-coupling Control Approach for Coordinated Formation of Surface
           Vessels with Uncertain Disturbances
    • Authors: Mingyu Fu; Lingling Yu, Yuanhui Wang, Jianfang Jiao
      Abstract: In this paper, a cross-coupling control approach for the coordinated formation of multiple marine surface vessels with direct communication topology in the presence of model uncertainties and external disturbances is presented. To synchronize the vessels' relative position errors while tracking their assigned trajectories, a cross-coupling formation controller is designed, in which a sliding mode surface in terms of the velocity tracking error and position cross-coupling error is introduced. Then, an adaptive radial basis function neural network is incorporated into the controller to learn the upper bound of model uncertainties and external disturbances. Utilizing Barbalat's lemma and topology theory, all of the error signals in the closed-loop system are proved to converge to zero asymptotically. Finally, numerical simulation results are provided to demonstrate the effectiveness of the proposed coordinated formation control strategy.
      PubDate: 2018-01-03T06:41:25.314402-05:
      DOI: 10.1002/asjc.1724
  • Special Issue on “Recent Advances on Data Fusion, Estimation in
           Navigation and Control”
    • Pages: 613 - 614
      PubDate: 2018-01-11T01:57:55.695378-05:
      DOI: 10.1002/asjc.1705
  • Special Issue on “Control Applications in Renewable Energy
    • Pages: 615 - 616
      PubDate: 2018-01-11T01:57:51.237717-05:
      DOI: 10.1002/asjc.1765
  • Special Issue on “SMC Based Observation, Identification, Uncertainties
           Compensation and Fault Detection”
    • Pages: 617 - 618
      PubDate: 2018-01-11T01:57:42.290373-05:
      DOI: 10.1002/asjc.1766
  • Issue Information
    • Pages: 619 - 619
      Abstract: No abstract is available for this article.
      PubDate: 2018-01-11T01:57:47.553645-05:
      DOI: 10.1002/asjc.1664
  • Further Studies on Stability and Stabilization of T-S Fuzzy Systems With
           Time-Varying Delays via Fuzzy Lyapunov-Krasovskii Functional Method
    • Authors: Jiyong Tan; Songyi Dian, Tao Zhao
      Abstract: This paper discusses the issue of stability analysis and stabilization of Takagi-Sugeno (T-S) fuzzy systems with time-varying delays. By constructing an appropriate augmented fuzzy Lyapunov-Krasovskii functional (LKF) including non-quadratic Lyapunov matrices and triple and quadruple integral term,less conservative and newer stability conditions are introduced. In order to obtain stability conditions in the form of linear matrix inequalities (LMIs), some tighter bounding inequalities are employed to estimate the derivative of LKF. Several examples are provided to illustrate the effectiveness of the suggested approaches.
      PubDate: 2017-12-29T00:26:39.047206-05:
      DOI: 10.1002/asjc.1697
  • Boundary Control for a Flexible Inverted Pendulum System Based on a PDE
           Model with Input Saturation
    • Authors: Yawei Peng; Jinkun Liu
      Abstract: This research considers the control problem of a flexible inverted pendulum system (FIPS) in the presence of input saturation. The model for a flexible inverted pendulum system (FIPS) is derived via the Hamilton principle. The FIPS model is divided into a fast subsystem and a slow subsystem via the singular perturbation method. We introduce an auxiliary system to deal with the input saturation of a fast subsystem. To stabilize the fast subsystem, a boundary anti-windup control force is applied at the free end of the beam. It is proven that the closed-loop subsystem is stable. For the slow subsystem, a sliding mode control method is employed to design a controller and a new decoupling method to design the sliding surface. Then it is shown that the slow subsystem is stable. Finally, simulation results are provided to confirm the efficacy of the proposed controller.
      PubDate: 2017-12-27T01:55:31.165552-05:
      DOI: 10.1002/asjc.1746
  • Wind Turbine Multivariable Optimal Control Based on Incremental State
    • Authors: José Miguel Adánez; Basil Mohammed Al-Hadithi, Agustín Jiménez
      Abstract: The multivariable optimal control of a wind turbine by an approach based on incremental state model is proposed. The advantages of incremental state model in comparison with the non incremental one are that the control action cancels steady state errors and incremental state solves the problem of computing the target state, choosing zero as an objective. Linear Quadratic Regulator (LQR) and optimal state observer are applied. The effectiveness of the proposed control method, over the non incremental one, is examined by applying the linear controllers to the nonlinear wind turbine model. The results show that incremental LQR control presents good transient response and zero steady state errors, even in presence of disturbances, nonlinearities and modelling errors.
      PubDate: 2017-12-20T08:41:05.719101-05:
      DOI: 10.1002/asjc.1720
  • A Piecewise Envelope Approach to H ∞ Control of Nonlinear Systems
    • Authors: Kai Liu; Jianghai Hu, Wenya Zhou, Jing Liu, Shangmin Zhang
      Abstract: This paper provides a computable approach for the H ∞ control synthesis of nonlinear systems using the piecewise envelope method. Firstly, the computation method of piecewise envelope is presented such that the required piecewise linear differential inclusions (PWLDIs) can be obtained by solving a linear optimization problem. Then, we propose the H ∞ control design method for PWLDIs using piecewise Lyapunov function theory, all the synthesis conditions are formulated as the feasibility of linear matrix inequalities, hence computationally tractable. Because of the inclusion relationship, the H ∞ controllers designed for PWLDIs are also effective for original nonlinear systems. The validity of the proposed approach is tested by application to control a wheeled mobile robot.
      PubDate: 2017-12-20T08:40:31.893818-05:
      DOI: 10.1002/asjc.1713
  • Adaptive Recurrent Neural Network Enhanced Variable Structure Control for
           Nonlinear Discrete Mimo Systems
    • Authors: Chih-Lyang Hwang; John Y. Hung
      Abstract: The stability and performance of robust control for a nonlinear complex dynamic system deteriorates due to large uncertainties. To address this, a discrete variable structure control (DVSC) outside of a convex set is designed to force the operating point into a convergent set, which is verified by Lyapunov stability theory. Due to the dynamic features of the lumped uncertainties, they are learned on-line by a recurrent neural network (RNN) in a specific convex set containing the convergent set of the DVSC. Between this convergent set and the convex set, a switching mechanism determines whether a learning RNN for the lumped uncertainties is executed. An adaptive recurrent-neural-network enhanced discrete variable structure control is then established to improve both transient and steady performances. Simulations, including compared examples and application to the trajectory tracking of a mobile robot, validate the effectiveness and robustness of the proposed control.
      PubDate: 2017-12-20T08:36:02.865221-05:
      DOI: 10.1002/asjc.1726
  • Prescribed Performance Fine Attitude Control for a Flexible Hypersonic
           Vehicle with Unknown Initial Errors
    • Authors: He-Wei Zhao; Yong Liang, Xiu-Xia Yang, Yun-An Hu
      Abstract: This is a study of a fine attitude control system design for a flexible hypersonic vehicle with unknown initial errors. A prescribed performance control method, backstepping control method, and RBF neural network method are used to design the controllers. A newly defined error transformation function is used to solve the unknown initial error issue in prescribed performance control. Different from traditional a RBF neural network, the fully-tuned dynamic RBF neural network has better approximation ability, and the weight vector, respective centers, and width of the Gaussian function of the neural network are regulated by adaptive laws designed in the controller. The stability of the system is proved and analyzed in this paper for a fully-tuned dynamic neural network introduced to the control system. Furthermore, prescribed performance control can guarantee the tracking errors satisfy the specified conditions and the fine attitude control can be implemented through the prescribed performance method. Finally, the simulations demonstrate the effectiveness and corrective ability of the control strategy.
      PubDate: 2017-12-15T09:26:09.874905-05:
      DOI: 10.1002/asjc.1735
  • Analysis, Verification and Comparison on Feedback-Aided MA Equivalence and
           Zhang Equivalency of Minimum-Kinetic-Energy Type for Kinematic Control of
           Redundant Robot Manipulators
    • Authors: Binbin Qiu; Yunong Zhang, Zhi Yang
      Abstract: By following and generalizing Ma et al.'s inspiring work and Zhang et al.'s inspiring work, this paper proposes and investigates three kinds of equivalent relationships with error-feedback information incorporated for the minimum-kinetic-energy (MKE) redundancy resolution. Specifically, these three equivalent relationships are divided into two big classes in terms of scheme formulations: one is termed MKE-type Ma equivalence (MKE-ME); the other is MKE-type Zhang equivalency (MKE-ZE), which can be further subdivided into MKE-ZE-I and MKE-ZE-II. Also, the equivalent analyses as well as the primary distinctions about three such equivalent relationships are presented. The simulation results based on a PUMA560 robot manipulator and a three-link planar robot manipulator not only verify the efficacy of the corresponding velocity-level and acceleration-level schemes of MKE-ME, MKE-ZE-I and MKE-ZE-II, but also substantiate their reasonableness and effectiveness of these three equivalent relationships. More importantly, the comparative numerical results show their respective characteristics and advantages for kinematic control of redundant robot manipulators.
      PubDate: 2017-12-15T09:24:13.974069-05:
      DOI: 10.1002/asjc.1706
  • Integrated 3-D Flight Trajectory Tracking Control with Aerodynamic
           Constraints on Attitude and control Surfaces
    • Authors: Xueyuan Wang; Hao Fang, Lihua Dou, Jie Chen, Bin Xin
      Abstract: In this paper, a new 3-D trajectory tracking problem for an uncertain high fidelity six-degree-of-freedom (6-DOF) aerodynamic system is considered. Instead of designing controllers for each subsystem separately, an integrated trajectory tracking control algorithm is proposed to exploit beneficial relationships among interacting subsystems. The high-order aerodynamic model is first transformed into a quasi-strict-feedback form. Then, backstepping technique is utilized to resolve the coupling effect problem of three control channels resulting from the bank-to-turn (BTT) control mode. In addition, command filters are introduced to handle state and actuator constraints caused by the physical limitations and the coordinated turn requirement. Furthermore, the uncertain aerodynamic force and moment coefficients are reconstructed by using the B-spline neural network approximation and adaptive learning approaches. With Lyapunov stability analysis, all the states in the closed-loop system are shown to be semi-globally uniformly ultimately bounded (SUUB), and the tracking errors will asymptotically converge into a small compact set around zero by properly adjusting the control parameters. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithm.
      PubDate: 2017-12-15T09:24:02.909779-05:
      DOI: 10.1002/asjc.1696
  • Stimulation Interval Evaluation for Lower-Limb Cycling Movement Based on
           Torque Observer
    • Authors: Po-Wen Hsueh; Mi-Ching Tsai, Chun-Lin Chen
      Abstract: A functional electrical stimulation (FES) assisted cycling ergometer incorporating passive or active movement has been proven to be effective in rehabilitation for stroke patients. Although a conventional five-bar linkage model of lower-limb cycling movement was proposed earlier to evaluate the stimulation interval, the accuracy of the obtained anthropometric data of patients still remains uncertain. To properly deliver FES during cycling for restoring the physical strength of patients, this study proposes a method of stimulation interval evaluation by integrating a torque observer into a motor driven cycle ergometer. The torque observer design, which is based on the measured motor current and position information, is employed to evaluate the stimulation interval without measuring the anthropometric data of patients. Simulated and experimental results were compared to verify the effectiveness of the proposed torque observer approach; meanwhile, the results of the study showed that the torque observer indeed provides a proper stimulation interval for FES in comparison to that of the conventional five-bar linkage model.
      PubDate: 2017-12-15T09:22:18.665501-05:
      DOI: 10.1002/asjc.1734
  • Vibration-Attenuation Controller Design for Structural Systems with
           Multi-Rate Sampled Data
    • Authors: Falu Weng; Yi Guo, Yuanchun Ding, Shuren Han, Feiyue Geng
      Abstract: The problem of vibration-attenuation controller design for structural systems with multi-rate sampled data is investigated in this paper. The objective of designing controllers is to guarantee the stability and anti-disturbance performance of closed-loop systems. Firstly, based on matrix transformation, the state-space model of structural systems with multi-rate sampled data and uncertainties appearing in the mass, damping, and stiffness matrices is established. Secondly, in terms of the Lyapunov stability theory and linear matrix inequality (LMI) techniques, a sufficient condition is established for the system without uncertainties to be stabilizable. If the condition is solvable, the controller can be obtained such that the closed-loop system is stable with a prescribed level of disturbance attenuation performance. Furthermore, the condition is also extended to its uncertain case. Finally, numerical examples are given to demonstrate the effectiveness of the proposed theorems.
      PubDate: 2017-12-13T09:06:28.781914-05:
      DOI: 10.1002/asjc.1737
  • Control for the New Harsh sea Conditions Salvage Crane Based on Modified
           Fuzzy PID
    • Authors: Xiangyong Liu; Wanli Li, Wenjia Wang, Zhiqiang Xu
      Abstract: The new salvage crane for harsh sea conditions is a salvage and rescue device that is used for the space launch capsule. The wave compensation algorithm can improve search and rescue ability at sea, and can also provide wave compensation guidance for other sea vessels under harsh sea conditions. Firstly, compared with the traditional fuzzy PID algorithm, the wave compensation algorithm is improved in three aspects: fuzzy rules, fuzzy inputs, and fuzzy outputs. For the fuzzy rules, E and EC are used separately. E plays a main role and EC plays an auxiliary role. For the fuzzy inputs, the angle deviation is the sum of current angle and angle's changing rate. For the fuzzy outputs, the cylinder's inertia and the electro-hydraulic valve's reverse dead zone factors are taken into account, and the PID output value is set with upper limit, lower limit, and dead zone. Secondly, the control valve and the hydraulic system's model are established in AMESim. The improved algorithm is established in SIMULINK. Combining the hydraulic model with the algorithm model, we do the co-simulation analysis. Thirdly, the improved algorithm's verification experiments are carried out on a rocky platform, which can simulate the ship's instability in different sea conditions. Finally, the simulation and experimental results verify that the improved fuzzy PID algorithm enhances the salvage crane's response and robustness, and also improves the salvage effect.
      PubDate: 2017-12-13T09:02:54.49232-05:0
      DOI: 10.1002/asjc.1707
  • Optimal Distance Function for Locally Weighted Average Prediction of
           Just-in-Time Methods
    • Authors: Yusuke Fujimoto; Ichiro Maruta, Toshiharu Sugie
      Abstract: This paper discusses the optimal distance function for Just-in-Time prediction. We focus on the standard Locally Weighted Average (LWA) prediction with Mahalanobis distance, and find the optimal distance which minimizes the prediction error. The key idea of this work is to introduce an integral which works as a model of the LWA prediction. This integral approximates the LWA prediction, and it becomes easier to discuss analytically. The main result of this paper is to show that the optimal distance function for such integral is constructed through a convex optimization. A numerical example and an experiment with a motor are shown to demonstrate the validity of the proposed distance function.
      PubDate: 2017-12-07T09:25:56.645816-05:
      DOI: 10.1002/asjc.1698
  • Viability Criteria for a Switched System on Bounded Polyhedron
    • Authors: JianFeng Lv; Yan Gao, Na Zhao
      Abstract: The viability of a switched system on a bounded polyhedron set, which is expressed by some linear inequalities, is investigated. Based on nonsmooth analysis and the properties of the tangent cone, a necessary and sufficient condition for viability is proposed. It is shown that the viability of a system is equivalent to the consistency of some systems of linear inequalities. Specifically, a viability condition for a switched system on a bounded polyhedron is presented. According to this condition, determining the viability of a bounded polyhedron can be transformed into verifying certain conditions at vertices of each facet. The method of determining viability, which transforms verifying the condition from infinite points to finite ones, can be implemented easily in practice. An algorithm to determine the viability for the switched system is constructed by using convex analysis. In addition, the approach can be extended to the switched system in which a control input is present. Finally, an example is listed to illustrate the effectiveness of the results.
      PubDate: 2017-12-05T10:31:16.541028-05:
      DOI: 10.1002/asjc.1719
  • Fractional Order Synchronous Reluctance Motor: Analysis, Chaos Control and
           FPGA Implementation
    • Authors: Karthikeyan Rajagopal; Fahime Nazarimehr, Anitha Karthikeyan, Ashokkumar Srinivasan, Sajad Jafari
      Abstract: This paper deals with the dynamical analysis and chaos control in a fractional order synchronous reluctance motor (FOSyncRM). Equilibrium points, characteristic equations and Eigen values of both commensurate and incommensurate FOSyncRM are presented. finite-time Lyapunov exponents of the FOSyncRM system for fixed and varied parameters are investigated along with the bifurcation plots. Fractional order bifurcation plots are derived to show that the system shows more complex chaotic oscillations in fractional order. Chaos control in the FOSyncRM system is achieved using adaptive sliding mode controllers and the entire control algorithm is implemented in FPGA.
      PubDate: 2017-12-05T10:31:12.684793-05:
      DOI: 10.1002/asjc.1690
  • The Qualitative Properties of Symmetric Open-Loop Nash Equilibria in the
           State-Control Dynamic System in Differential Games
    • Authors: Shao-Chieh Hsueh; Chen Ling
      Abstract: The local stability, steady state comparative statics, and local comparative dynamics of symmetric open-loop Nash equilibria in the state-control dynamic system for a seemingly ubiquitous class of discounted infinite horizon differential games are investigated. It is shown that most of the useful qualitative results occur because the same small number of assumptions is being made about the mathematical structure of the integrand and/or state equations. Applications of the results to exhaustible resource extraction and capital accumulation differential games are provided.
      PubDate: 2017-12-05T10:30:32.672693-05:
      DOI: 10.1002/asjc.1700
  • Nonlinear Control Method for Nonlinear Systems with Unknown Perturbations
           by Combining Left and Right Factorization
    • Authors: Fazhan Tao; Mingcong Deng
      Abstract: In this paper, nonlinear control design scheme for a class of nonlinear systems is proposed based on operator coprime factorization theory. In detail, two stable controllers are provided to design a Bezout identity by combining left factorization (not coprime) with right factorization. Based on the proposed design method, a realization approach to left coprime factorization for the nonlinear system is obtained, which provides an effective framework for constructing left coprime factorization. Meanwhile, internal-output stability of the nonlinear system is guaranteed. After that, based on the obtained left coprime factorization, the cases of the nonlinear systems with perturbations are discussed for guaranteeing robust stability for the perturbed systems. For the perturbations, two different cases, known bounded perturbations and unknown bounded perturbations, are investigated from different viewpoints to analyze robust stability issue for the perturbed systems. Finally, a simulation example is given to confirm the effectiveness of the proposed design method.
      PubDate: 2017-12-05T10:25:48.997919-05:
      DOI: 10.1002/asjc.1701
  • Time-Varying Stabilizers for Stochastic Systems with no Unforced Dynamics
    • Authors: Patrick Florchinger
      Abstract: This paper is concerned with the stabilizability of nonlinear stochastic systems with no unforced dynamics. Sufficient conditions allowing to design explicitly time–varying feedback laws which render such systems asymptotically stable in probability are given. The techniques used in this work involve the stochastic Lyapunov analysis combined with the stochastic version of the La Salle invariance principle. The interest of our results is that the systems considered in the present paper cannot in general be stabilized via time-invariant feedback laws.
      PubDate: 2017-12-05T10:25:25.705973-05:
      DOI: 10.1002/asjc.1703
  • A Novel Application of Minimax LQG Control Technique for High-speed Spiral
    • Authors: H. Habibullah; H. R. Pota, I. R. Petersen
      Abstract: Over the last two decades, increasing the scanning speed of an atomic force microscopy (AFM) has been attempted either by applying novel controllers, using alternative scanning methods, or by modifying the hardware setup. This paper demonstrates, the first two approaches to achieve high-speed AFM image scanning. A robust minimax linear quadratic Gaussian (LQG) controller is designed and spiral scanning is considered as an alternative scanning method rather than conventional raster scanning. The minimax LQG controller is designed based on an uncertain system model which is constructed by measuring the plant variations due to variations in sample mass and also modeling error between the measured and model frequency responses. This controller is also robust against uncertainties introduced as a result of variations of sample mass, spillover dynamics of the scanner at frequencies higher than the first resonance frequency of the scanner, and variation in plant transfer functions due to temperature and humidity. The designed controller is experimentally implemented on an AFM using a dSPACE ds-1103 real-time prototyping system and open-loop and closed-loop spiral imaging performances are evaluated. The proposed controller provides sufficient damping at the resonant modes to accurately track the sinusoidal reference signal and generate vibration free images. Also, creep, hysteresis, and cross-coupling effects are significantly reduced. The experimental results show that the proposed scheme outperforms the open-loop case and some other existing approaches.
      PubDate: 2017-12-05T10:15:43.786786-05:
      DOI: 10.1002/asjc.1691
  • Motion Control of a Nonholonomic Mobile Manipulator in Task Space
    • Authors: Shengfeng Zhou; Yazhini C. Pradeep, Ming Zhu, Kendrick Amezquita-Semprun, Peter Chen
      Abstract: In this paper, the motion control of a mobile manipulator subjected to nonholonomic constraints is investigated. The control objective is to design a computed-torque controller based on the coupled dynamics of the mobile manipulator. The proposed controller achieves the capability of simultaneous tracking of a reference velocity for the mobile base and a reference trajectory for the end-effector. The aforementioned reference velocity and trajectory are defined in the task space, such task setting imitates the actual working conditions of a mobile manipulator and thus makes the control problem practical. To solve this tracking problem, a steering velocity is firstly designed based on the first-order kinematic model of the nonholonomic mobile base via dynamic feedback linearization. The main merit of the proposed steering velocity design is that it directly utilizes the reference velocity set in the task space without requiring the knowledge of a reference orientation. A torque controller is subsequently developed based on a proposed Lyapunov function which explicitly considers the coupled dynamics of the mobile manipulator to ensure the mobile base and end-effector track the reference velocity and trajectory respectively. This proposed computed-torque controller is able to realize asymptotic stability of both the base velocity tracking error and the end-effector motion tracking error. Simulations are conducted to demonstrate the effectiveness of the proposed controller.
      PubDate: 2017-12-05T10:10:52.263806-05:
      DOI: 10.1002/asjc.1694
  • Robust Tracking Control and Stabilization of Underactuated Ships
    • Authors: Jia-Wang Li
      Abstract: This paper addresses the problem of tracking control and stabilization for underactuated ships subjected to parametric modeling uncertainties. By designing a novel error state transformation scheme, some auxiliary variables are provided to be regarded as additional virtual control signals, while these variables can change their structures for different reference trajectories. Then, a robust control scheme is presented to achieve practical convergence of tracking errors and the ship's velocities to bounded neighborhoods of the origin. Simulation results are performed to illustrate the effectiveness of the proposed control scheme.
      PubDate: 2017-11-29T15:36:17.165455-05:
      DOI: 10.1002/asjc.1714
  • A new Wavelet Method for Variable-Order Fractional Optimal Control
    • Authors: Mohammad Hossein Heydari; Zakieh Avazzadeh
      Abstract: In this paper, a new computational method based on the Legendre wavelets (LWs) is proposed for solving a class of variable-order fractional optimal control problems (V-FOCPs). To do this, a new operational matrix of variable-order fractional integration (OMV-FI) in the Riemann-Liouville sense for the LWs is derived and used to obtain an approximate solution for the problem under study. Along the way the hat functions (HFs) are introduced and employed to derive a general procedure to compute this matrix. In the proposed method, the variable-order fractional dynamical system is transformed to an equivalent variable-order fractional integro-differential dynamical system, at first. Then, the highest integer order of the derivative of the state variable and the control variable are expanded by the LWs with unknown coefficients. Next, the OMV-FI in the the Riemann-Liouville sense together with some properties of the LWs are employed to achieve a nonlinear algebraic equation in place of the performance index and a nonlinear system of algebraic equations in place of the dynamical system in terms of the unknown coefficients. Finally, the method of constrained extremum is applied which consists of adjoining the constraint equations derived from the given dynamical system to the performance index by a set of undetermined Lagrange multipliers. As a result, the necessary conditions of optimality are derived as a system of algebraic equations in the unknown coefficients of the state variable, control variable and Lagrange multipliers. Furthermore, the efficiency and accuracy of the proposed method are demonstrated for some concrete examples. The obtained results show that the proposed method is very efficient and accurate.
      PubDate: 2017-11-29T15:31:23.748301-05:
      DOI: 10.1002/asjc.1687
  • Control Design for Artificial Swarm Mechanical Systems: Dynamics,
           Uncertainty, and Constraint
    • Authors: Xiaomin Zhao; Ye-Hwa Chen, Han Zhao, Fangfang Dong
      Abstract: We consider an artificial swarm system consisting of multiple agents. The agents influence each other through the attraction/repulsion, which is related to the relative positions among them. Here the collective behavior of the agents mimics some biological swarm systems. The dynamic model for each agent is built by taking the uncertainty into account. Based on the dynamic model, we propose three types adaptive robust controls, including switching type, non-switching type and fractional type, for each agent. The control design weaves together several intrinsic features of kinematics, dynamics, d'Alembert's principle, constraint, and uncertainty.
      PubDate: 2017-11-29T15:31:18.180545-05:
      DOI: 10.1002/asjc.1688
  • Stabilization of a Timoshenko Beam With Disturbance Observer-Based Time
           Varying Boundary Controls
    • Authors: Dongyi Liu; Yining Chen, Yingfeng Shang, Genqi Xu
      Abstract: This paper is concerned with the boundary feedback stabilization for a Timoshenko beam with external disturbances in the boundary inputs. Based on the idea of active disturbance rejection controls, extended state observers with the time-varying gains are designed to estimate disturbances and then a control strategy is presented by canceling the disturbances via the feedback channels. The well-posedness of the resulting closed-loop system is proved by the dual theory and admissibility theory, and the relationship between the stability and the disturbance is interpreted by Lyapunov's second method. At the end, the numerical experiment illustrate the effectiveness of the proposed control strategy.
      PubDate: 2017-11-29T15:30:33.693249-05:
      DOI: 10.1002/asjc.1678
  • The Method of Reagent Control Based on Time Series Distribution of Bubble
           Size in a Gold-Antimony Flotation Process
    • Authors: Zhongmei Li; Weihua Gui
      Abstract: Due to the distribution of bubble size changes with the reagent dosage in a flotation process, a dosage control method based on time series distribution of bubble size during the gold-antimony flotation process is proposed. Firstly, since the flotation conditions cannot be described fully by the features of a single froth image, the concept of cumulative distribution function (CDF) is presented for describing the time series distribution of consecutive multi-frame bubble sizes, and approximated by a third order B-spline function. After that, a method that combines an radial basis function (RBF) neural network with the genetic algorithm (GA-RBF) is used to obtain the optimal CDF of the bubble size, then, a projection pursuit method is employed to reduce the multi-dimensional weights. Finally, a nonlinear prediction model combining reagent dosage and the projection vector is constructed based on partial least square through spline transformation (PLSS). The error between the output and the given CDF can be optimized by a differential evolution algorithm. The industrial experiment demonstrates the effectiveness of the proposed method.
      PubDate: 2017-11-29T15:27:38.887142-05:
      DOI: 10.1002/asjc.1723
  • Robust Optimal Control of Nonlinear Systems With System Disturbance During
           Feedback Disruption
    • Authors: Sang-Young Oh; Ho-Lim Choi
      Abstract: In this paper, a robust optimal control problem of nonlinear systems with system disturbance during feedback disruption is considered. This is an extended work of previous time-delay optimal control results, by adding external disturbance in the considered system. It is shown that there exists an optimal input signal which keeps the performance error within the specified bound for the longest time. Then, it is shown that such an optimal input signal can be approximated by an implementable bang-bang input signal in terms of control performance. Two examples are given for illustration.
      PubDate: 2017-11-29T15:26:26.875562-05:
      DOI: 10.1002/asjc.1695
  • Robust Control of Permanent Magnet Synchronous Machine Based on Passivity
    • Authors: Razvan Mocanu; Alexandru Onea
      Abstract: This paper presents a robust control strategy for a Permanent Magnet Synchronous Machine (PMSM) based on passivity theory. Pre-control terms ensure robustness to variation of parameters. The nominal electrical and mechanical dynamics are treated separately and a cascade structure is obtained. A comparative analysis is done in Matlab-Simulink with a Simple Adaptive Control (SAC) strategy in terms of settling time, stationary error, time response and energy efficiency. Improvements of the proposed Passivity Based Control (PBC) strategy are shown in comparison with some other PBC controllers.
      PubDate: 2017-11-29T15:26:21.103504-05:
      DOI: 10.1002/asjc.1699
  • Trajectory Controllability of Fractional Integro-Differential Systems in
           Hilbert Spaces
    • Authors: Venkatesan Govindaraj; Raju K. George
      Abstract: In this paper, sufficient conditions for trajectory controllability of nonlinear fractional integro-differential systems involving Caputo fractional derivative of order α∈(1,2] in finite and as well as in infinite dimensional Hilbert spaces are obtained. Our tools of study include set-valued functions, theory of monotone operators and α-order cosine family of operators. The main results are well illustrated with the aid of examples.
      PubDate: 2017-11-27T04:30:32.531242-05:
      DOI: 10.1002/asjc.1685
  • On the Complexity of SOS Programming and Applications in Control Systems
    • Authors: Graziano Chesi
      Abstract: The minimization of a linear cost function subject to the condition that some matrix polynomials depending linearly on the decision variables are sums of squares of matrix polynomials (SOS) is known as SOS programming. This paper proposes an analysis of the complexity of SOS programming, in particular of the number of linear matrix inequality (LMI) scalar variables required for establishing whether a matrix polynomial is SOS. This number is analyzed for real and complex matrix polynomials, in the general case and in the case of some exact reductions achievable for some classes of matrix polynomials. An analytical formula is proposed in each case in order to provide this number as a function of the number of variables, degree and size of the matrix polynomials. Some tables reporting this number are also provided as reference for the reader. Two applications in control systems are presented in order to show the usefulness of the proposed results.
      PubDate: 2017-11-27T04:26:50.023736-05:
      DOI: 10.1002/asjc.1684
  • Exponential Stability and Delayed Impulsive Stabilization of Hybrid
           Impulsive Stochastic Functional Differential Systems
    • Authors: Dianqaing Li; Pei Cheng, Feiqi Deng
      Abstract: This paper is concerned with the stability and impulsive stabilization of hybrid impulsive stochastic functional differential systems with delayed impulses. Using the Razumikhin techniques and Lyapunov functions, some sufficient conditions for the pth moment exponential stability of the systems under consideration are established. Based on the derived stability results, impulsive controllers are designed to stabilize a given unstable linear or nonlinear hybrid stochastic delayed differential system. Different from the existing stability and impulsive stabilization results in the literature, the results obtained in this paper shown that the delayed part of impulses can make a contribution to the stability of systems. Three examples are provided to present the effectiveness and advantages of the proposed results.
      PubDate: 2017-11-27T04:26:26.440586-05:
      DOI: 10.1002/asjc.1692
  • Lyapunov Functional Approach to Stability Analysis of Riemann-Liouville
           Fractional Neural Networks with Time-Varying Delays
    • Authors: Hai Zhang; Renyu Ye, Jinde Cao, Alsaedi Ahmed, Xiaodi Li, Ying Wan
      Abstract: This paper is concerned with the globally asymptotic stability of the Riemann-Liouville fractional-order neural networks with time-varying delays. The Lyapunov functional approach to stability analysis for nonlinear fractional-order functional differential equations is discussed. By constructing an appropriate Lyapunov functional associated with the Riemann-Liouville fractional integral and derivative, the asymptotic stability criteria of fractional-order neural networks with time-varying delays and constant delays are derived. The advantage of our proposed method is that one may directly calculate the first-order derivative of the Lyapunov functional. Two numerical examples are also presented to illustrate the validity and feasibility of the theoretical results. With the increasing of the order of fractional derivatives, the state trajectories of neural networks show that the speeds of converging toward zero solution are faster and faster.
      PubDate: 2017-11-27T04:22:14.152489-05:
      DOI: 10.1002/asjc.1675
  • A Control Architecture for Time-Optimal Landing of a Quadrotor Onto a
           Moving Platform
    • Authors: Botao Hu; Lu Lu, Sandipan Mishra
      Abstract: We address the problem of autonomous landing of a quadrotor onto a heaving (moving vertically) platform in this paper. A control architecture that consists of a motion estimation module, a trajectory generation module and a tracking control module is proposed. The motion estimation module estimates the absolute motion of the platform and the quadrotor with the measurements from an on-board accelerometer and vision measurements. Based on these estimates, the trajectory generation module generates a time-optimal reference trajectory. With the reference trajectory and motion estimation, the tracking control module synthesizes a control command that enables robust tracking of the reference trajectory. Experimental results and comparison with a state-of-the-art landing controller demonstrate the effectiveness of the proposed control architecture.
      PubDate: 2017-11-27T04:21:25.47462-05:0
      DOI: 10.1002/asjc.1693
  • A Novel Robust Constraint Force Servo Control for Under-actuated
           Manipulator Systems: Fuzzy and Optimal
    • Authors: Fangfang Dong; Jiang Han, Ye-Hwa Chen, Lian Xia
      Abstract: We consider the control design for under-actuated manipulator systems. The task is to drive the system to be close to a prescribed constraint. The system contains uncertainty. It is bounded where the bounding information is prescribed by a fuzzy set (e.g., the bound is close to 1). The initial condition is also prescribed by a fuzzy set. A class of robust control is proposed, which guarantees a deterministic performance. On top of that, the choice of a control design parameter is cast into a fuzzy-theoretic setting. A performance index, consisting of accumulated fuzzy-based system performance and control cost, is proposed. The optimal control design parameters, which minimize the performance index, can be obtained by solving two algebraic quartic (fourth-order) equations. As a result, the control design problem, which addresses both fuzzy and optimal characteristics, is completely solved.
      PubDate: 2017-11-21T09:46:05.931168-05:
      DOI: 10.1002/asjc.1677
  • New Saturated Delayed Control for a Chain of Integrators with Nonlinear
    • Authors: Meng Li; Huawen Ye, Jianling Kang, Juan Zhang
      Abstract: This paper investigates the saturated delayed stabilization of a chain of integrators with higher-order nonlinear terms. With the aid of a recent state transformation, the system is transformed into a canonical form in which time delay appears in both input and states. As a result, natural cancellations can be fully used in the saturation reduction analysis, and fewer terms need to be estimated in the asymptotical stability analysis of the reduced system. In addition, a single tuneable parameter is introduced to the special state transformation, which facilitates compensating an arbitrarily large input-delay. As an example, a simplified inertia wheel pendulum system is provided with an explicit controller and numerical simulations are given to demonstrate the effectiveness of the suggested controller.
      PubDate: 2017-11-21T09:45:47.540412-05:
      DOI: 10.1002/asjc.1711
  • Robust Double-integral T-S Fuzzy Output Regulation for Nonlinear Systems
    • Authors: Kuang-Yow Lian; Chien-Hung Liu, Chian-Song Chiu
      Abstract: This paper proposes a robust double-integral T-S fuzzy output regulator design for affine nonlinear systems in the presence of parametric uncertainty and external disturbance. First, we adopt double integrators (an error integrator and an input integrator) to obtain an augmented T-S fuzzy model representation which has a common input matrix of fuzzy rules. This property yields less stability conditions. Next, by introducing a set of virtual desired variables (VDVs), a double-integral VDV-based fuzzy regulator is proposed to cope with unknown bias and to achieve asymptotical output regulation. Afterward, the controller is simplified to avoid VDV calculation and enhance robustness to uncertainty and external disturbance. In contrast to traditional regulation design, the double-integral non-VDV fuzzy regulator design reduces the number of fuzzy controller rules and stability LMIs. Moreover, the error coordinate transformation is removed and the uncertainty is allowed in this paper. Finally, a DC/DC buck converter system is taken as the example to demonstrate the expected performance.
      PubDate: 2017-11-14T00:05:43.561092-05:
      DOI: 10.1002/asjc.1652
  • Integrated Dynamics Control and Energy Efficiency Optimization for
           Overactuated Electric Vehicles
    • Authors: Boyuan Li; Haiping Du, Weihua Li, Bangji Zhang
      Abstract: A large number of studies have been conducted on the dynamics control of electric vehicles or on the optimization of their energy efficiency but few studies have looked at both of these together. In this study, an integrated dynamics control and energy efficiency optimization strategy is proposed for overactuated electric vehicles, where the control of both longitudinal and lateral dynamics is dealt with while the energy efficiency is optimized. First, considering the trade-off between control performance and energy efficiency, criteria are defined to categorize the vehicle motion status as linear pure longitudinal motion and non-linear motion or turning motion. Then different optimization targets are developed for different motion status. For the pure linear longitudinal motion and cornering motion, the energy efficiency and vehicle dynamics performance are equally important and a trade-off control performance between them needs to be achieved. For the non-linear turning motion, vehicle handling and stability performance are the primary concerns, and energy efficiency is a secondary target. Based on the defined targets, the desired longitudinal and lateral tyre forces and yaw moment are then optimally distributed to the wheel driving and steering torques. Finally numerical simulations are used to verify the effectiveness of the proposed strategies. The simulation results show that the proposed strategies can provide good dynamics control performance with less energy consumption.
      PubDate: 2017-11-08T02:26:49.108266-05:
      DOI: 10.1002/asjc.1686
  • Semi-Global Robust Output Regulation for A Class of Singular Nonlinear
           Systems with Unknown Algebraic Equations
    • Authors: Bomin Huang; Weiyao Lan
      Abstract: This paper considers semi-global robust output regulation problem for a class of singular nonlinear systems whose algebraic equations are not precisely known. Since the algebraic equations are not known, the output regulation problem of singular nonlinear systems cannot be solved by directly reducing the singular nonlinear system into a normal nonlinear system. Based on internal model principle, we convert the robust output regulation problem of singular nonlinear systems into a robust stabilization problem of an augmented singular nonlinear system. The augmented singular nonlinear system is also with unknown algebraic equations. However, without transforming the singular nonlinear system into a normal nonlinear system, it is shown that the augmented singular nonlinear system can be semi-globally stabilized by a high gain output feedback control law under some reasonable assumptions. Moreover, the semi-global stabilization control law of the augmented singular nonlinear systems also solves the semi-global robust output regulation problem of the original singular nonlinear system.
      PubDate: 2017-11-06T09:11:19.682836-05:
      DOI: 10.1002/asjc.1653
  • Singular Linear Quadratic Optimal Control Problem for Stochastic
           Nonregular Descriptor Systems
    • Authors: Xin Wang; Bin Liu
      Abstract: This paper is concerned with the singular linear quadratic (SLQ) optimal control problem for stochastic nonregular descriptor systems with time-delay. By means of some reasonable assumptions and a series of equivalent transformations, the problem is finally transformed into a positive linear quadratic (LQ) problem for standard stochastic systems. Then dynamic programming principle is used to establish the solvability of the original problem, and the desired explicit presentation of the optimal controller is given in terms of matrix iterative form. The results due to Feng et al. are generalized and improved. As an application, a numerical example is presented to demonstrate the efficiency of the proposed approach.
      PubDate: 2017-11-06T09:05:52.301998-05:
      DOI: 10.1002/asjc.1660
  • Estimation of Multi-Order Spectra for Nonlinear Closed-Loop Systems
    • Authors: Jialiang Zhang; Jianfu Cao
      Abstract: In this paper, a multi-order spectra estimation method is proposed for a nonlinear closed-loop system based on the Volterra series. Owing to the correlation between the noise and the input, the estimation accuracy is poor when the nonlinear spectra of the plant is obtained using the traditional estimation method. In order to overcome this problem, a two-step scheme is used to estimate the multi-order spectrum of a nonlinear system operating in closed-loop. Firstly, the generalized frequency response functions (GFRFs) from the reference signal to the input of the plant are estimated, and they are used to simulate the noise-free input spectra of the plant. Secondly, the GFRFs of the controlled plant are estimated using the noise-free input spectra and the output spectra. Because the GFRFs are multidimensional functions, the required amount of calculation for the estimation is very large. To reduce computational complexity, a simplified GFRF model is adopted to estimate the multi-order nonlinear spectrum of the plant. In this model, the GFRF is transformed to a one-dimensional function. Two simulation experiments are provided to illustrate the proposed approach.
      PubDate: 2017-11-03T03:41:19.005839-05:
      DOI: 10.1002/asjc.1679
  • Integral Sliding-Mode Observation and Control for Switched Uncertain
           Linear Time Invariant Systems: a Robustifying Strategy
    • Authors: Rosalba Galván-Guerra; Leonid Fridman, Rafael Iriarte, Juan-Eduardo Velázquez-Velázquez, Martin Steinberger
      Abstract: A robustifying methodology for switched systems with matched and unmatched uncertainties/perturbations and autonomous location transitions is presented. We avail of such methodology to design a control strategy based on integral sliding modes, thereby ensuring theoretically exact compensation of the matched uncertainties/perturbations and the minimization of the effects of the unmatched ones. An output integral sliding-mode control technique, based on a switched algebraic hierarchical observer is also proposed. This approach allows the theoretically exact compensation of the matched uncertainties/perturbations right after the first moment. The proposed approach is illustrated via numerical simulations.
      PubDate: 2017-11-03T03:41:09.370044-05:
      DOI: 10.1002/asjc.1661
  • Dynamic Output Feedback Control for Systems Subject to Actuator Saturation
           via Event-Triggered Scheme
    • Authors: Hongchao Li; Zhiqiang Zuo, Yijing Wang
      Abstract: In this paper, the event-triggered dynamic output feedback control problem for linear systems with actuator saturation is investigated. Event-triggered scheme only transmits the corresponding signal when the event-triggered condition is violated. Due to its advantage of saving communication resources, it is utilized to design the dynamic output feedback controller. A criterion is established to guarantee the stability of the closed-loop system by introducing an exponential term for the Lyapunov function, which corresponds to the exponential term in the event-triggered condition. The explicit design of the coefficient matrices of the controller is presented. Furthermore, a lower bound of the inter-event time is calculated to avoid Zeno behavior. An optimization algorithm is then formulated to maximize the estimation of the domain of attraction. Finally, a numerical example is given to illustrate the effectiveness of our methods and to show the trade-off between the size of the domain of attraction and communication resources saving.
      PubDate: 2017-11-03T03:33:13.773692-05:
      DOI: 10.1002/asjc.1662
  • Distributed Consensus of Multi-Agent Systems with Input Faults and
           Time-Varying Delays
    • Authors: M. Fattahi; A. Afshar
      Abstract: This work studies the consensus problem of multi-agent systems with input faults and time-varying delays. The assumed faults in the system are loss of effectiveness of actuator and nonlinear additive term mixed with nominal input. For system faults that are nonlinear, constraints of constant norm-bounded, sector nonlinearity, and unbounded nonlinearity with known basis functions are considered. Employing a Lyapunov–Krasovskii functional method, delay dependent consensus criteria are established to show the exponential behavior of the system. Finally, one simulation example is solved to demonstrate the advantage of the obtained results.
      PubDate: 2017-11-03T03:32:39.006043-05:
      DOI: 10.1002/asjc.1654
  • Robust Approximate Constraint-Following Control for Autonomous Vehicle
           Platoon Systems
    • Authors: Xiaomin Zhao; Y. H. Chen, Han Zhao
      Abstract: We consider an autonomous vehicle platoon system consisting of N+1 vehicles in the presence of modeling uncertainty. The uncertainty may be due to parameter variations, aerodynamics, external disturbances, etc., which is nonlinear and time-varying. Subject to the collision avoidance consideration, the original state is one-sided restricted. To resolve this restriction, we propose a state transformation to convert the bounded state into a globally unbounded state. Furthermore, motivated by the properties of artificial swarm systems, we incorporate the swarm system performance into the platoon system by treating it as a d'Alembert's constraint. By the Udwadia and Kalaba's approach, we obtain the analytic (closed-form) expression of the constraint force. Based on this, a class of robust controls for each vehicle (except the leading vehicle) is proposed to drive the platoon system to follow the ideal swarm model. Four major system performances are accomplished: (i) compact vehicle formation, (ii) collision avoidance, (iii) stable platoon system formation, (iv) global behavior.
      PubDate: 2017-10-26T18:20:44.895089-05:
      DOI: 10.1002/asjc.1676
  • L1-Gain Analysis and Control for Switched Positive Systems with Dwell Time
    • Authors: Jian Shen; Weiqun Wang
      Abstract: This paper studies the problems of L1-gain analysis and control for switched positive systems with dwell time constraint. The state-dependent switching satisfies a minimal dwell time constraint to avoid possible arbitrary fast switching. By constructing multiple linear co-positive Lyapunov functions, sufficient conditions of stability and L1-gain property are derived under the proposed switching strategy. Then, an effective state feedback controller is designed to ensure the positivity and L1-gain property of the closed-loop system. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.
      PubDate: 2017-10-26T18:20:32.431159-05:
      DOI: 10.1002/asjc.1702
  • An Enhanced Coupling Nonlinear Tracking Controller for Underactuated 3D
           Overhead Crane Systems
    • Authors: Menghua Zhang; Xin Ma, Xuewen Rong, Rui Song, Xincheng Tian, Yibin Li
      Abstract: An enhanced coupling nonlinear tracking control method for an underactuated 3D overhead crane systems is set forth in the present paper. The proposed tracking controller guarantees a smooth start for the trolley and solves the problem of the payload swing angle amplitude increasing as the transferring distance gets longer for the regulation control methods. Different from existing tracking control methods, the presented control approach has an improved transient performance. More specifically, by taking the operation experience, mathematical analysis of the overhead crane system, physical constraints, and operational efficiency into consideration, we first select two desired trajectories for the trolley. Then, a new storage function is constructed by the introduction of two new composite signals, which increases the coupling behaviour between the trolley movement and payload swing. Next, a novel tracking control strategy is designed according to the derivation form of the aforementioned storage function. Lyapunov techniques and Barbalat's Lemma are used to demonstrate the stability of the closed-loop system without any approximation manipulations to the original nonlinear dynamics. Finally, some simulation and experiments are used to demonstrate the superior transient performance and strong robustness with respect to different cable lengths, payload masses, destinations, and external disturbances of the enhanced coupling nonlinear tracking control scheme.
      PubDate: 2017-10-23T10:10:46.552133-05:
      DOI: 10.1002/asjc.1683
  • Predictor Feedback Stabilization of Stochastic Linear Delayed Systems with
           Both Additive and Multiplicative Noises
    • Authors: Ali Javadi; Mohammad Reza Jahed-Motlagh, Ali-Akbar Jalali
      Abstract: In this paper we investigate memory control of stochastic linear delayed systems with both additive and multiplicative noises. A new formula is first presented to obtain the prediction vector from the system dynamics and then it is used for feedback to reduce the input delay in the original delayed system. To ensure the stability of closed-loop system, some matrix inequality conditions are given that in the case of feasibility provide the stabilizing gain of the predictor controller. The proposed method is applied to stochastic quarter-car model of an active suspension system to show the effectiveness of the approach.
      PubDate: 2017-10-23T10:10:31.301146-05:
      DOI: 10.1002/asjc.1657
  • Control of Grid Connected Photovoltaic Systems with Microinverters: New
           Theoretical Design and Numerical Evaluation
    • Authors: Abdelhafid Yahya; Hassan El Fadil, Mustapha Oulcaid, Leila Ammeh, Fouad Giri, Josep M. Guerrero
      Abstract: This paper addresses the problem of controlling grid connected photovoltaic (PV) systems that are driven with microinverters. The systems to be controlled consist of a solar panel, a boost dc–dc converter, a DC link capacitor, a single-phase full-bridge inverter, a filter inductor, and an isolation transformer. We seek controllers that are able to simultaneously achieve four control objectives, namely: (i) asymptotic stability of the closed loop control system; (ii) maximum power point tracking (MPPT) of the PV module; (iii) tight regulation of the DC bus voltage; and (iv) unity power factor (PF) in the grid. To achieve these objectives, a new multiloop nonlinear controller is designed using the backstepping design technique. A key feature of the control design is that it relies on an averaged nonlinear system model accounting, on the one hand, for the nonlinear dynamics of the underlying boost converter and inverter and, on the other, for the nonlinear characteristic of the PV panel. To achieve the MPPT objective, a power optimizer is designed that computes online the optimal PV panel voltage used as a reference signal by the PV voltage regulator. It is formally shown that the proposed controller meets all the objectives. This theoretical result is confirmed by numerical simulation tests.
      PubDate: 2017-10-23T04:51:12.412608-05:
      DOI: 10.1002/asjc.1704
  • Iterative Learning Control for Nonlinear Systems with Data Dropouts at
           Both Measurement and Actuator Sides
    • Authors: Yanqiong Jin; Dong Shen
      Abstract: This paper discusses the iterative learning control (ILC) for nonlinear systems under a general networked control structure, in which random data dropouts occur independently at both measurement and actuator sides. Both updating algorithms are proposed for the computed input signal at the learning controller and the real input signal at the plant, respectively. The system output is strictly proved to converge to the desired reference with probability one as the iteration number goes to infinity. A numerical simulation is provided to verify the effectiveness of the proposed mechanism and algorithms.
      PubDate: 2017-10-18T07:31:00.37189-05:0
      DOI: 10.1002/asjc.1656
  • Sliding Mode Disturbance Observer-based Motion Control for a Piezoelectric
           Actuator-based Surgical Device
    • Authors: Jun Yik Lau; Wenyu Liang, Hwee Choo Liaw, Kok Kiong Tan
      Abstract: This paper presents a sliding mode disturbance observer-based motion tracking control methodology. In particular, the methodology is applied to control a semi-automated hand-held ear surgical device for the treatment of otitis media with effusion. The proposed control methodology is utilised to deal with the undesirable effects in the motion system, such as non-linear dynamics, parametric uncertainties and external disturbances. It employs a proportional-derivative control scheme together with a sliding mode disturbance observer for rejecting the undesirable effects. The stability of the proposed control methodology is proven theoretically and its effectiveness is evaluated experimentally. In addition, promising motion tracking experimental results are shown, and it can be observed that the proposed approach offers more robust performance for controlling the hand-held surgical device and other similar instruments.
      PubDate: 2017-10-18T07:20:50.545724-05:
      DOI: 10.1002/asjc.1649
  • Adaptive Iterated Extended KALMAN Filter for Relative Spacecraft Attitude
           and Position Estimation
    • Authors: Kai Xiong; Chunling Wei
      Abstract: This paper presents a novel adaptive iterated extended Kalman filter (AIEKF) for relative position and attitude estimation, taking into account the influence of model uncertainty. Considering a nonlinear stochastic discrete-time system with unknown disturbance, the AIEKF algorithm adopts the Gauss-Newton iterative optimization steps to implement a maximum a posteriori (MAP) estimation, and the switch-mode combination technique is used to achieve the adaptive capability. The mean-square estimation error (MSE) of the state estimate is derived. It is proved that the AIEKF can yield a smaller MSE than that of the traditional extended Kalman filter (EKF) or iterated extended Kalman filter (IEKF). The performance advantage of the AIEKF is illustrated via Monte Carlo simulations on a typical relative position and attitude estimation application. Through comparisons in different scenarios, the presented algorithm is shown to improve adaptability and ensure estimation accuracy.
      PubDate: 2017-10-18T07:20:36.443585-05:
      DOI: 10.1002/asjc.1689
  • Adaptive Nonlinear Control of Reduced-Part three-Phase Shunt Active Power
    • Authors: Younes Abouelmahjoub; Fouad Giri, Abdelmajid Abouloifa, Fatima-Zahra Chaoui, Mohammed Kissaoui
      Abstract: The problem of controlling reduced-part three-phase shunt active power filters is addressed in the presence of nonlinear loads. The control objective is twofold: (i) compensation of the current harmonics and the reactive power absorbed by the nonlinear load in order to ensure a satisfactory power factor correction (PFC) at the grid-filter connection point; (2) regulation of the DC bus voltage at the inverter input. The considered control problem entails several difficulties including: (1) the high dimension and strong nonlinearity of the system; (ii) the numerous state variables that are inaccessible to measurements; (iii) the system parameter uncertainty. The problem is dealt with by designing a nonlinear adaptive controller with cascade structure including two control loops. The inner-loop regulator is designed using the Lyapunov technique to ensure the PFC objective, while the outer-loop involves a linear PI type control law for DC bus voltage regulation. The controller also includes an adaptive observer estimating the grid voltages and impedances parameters. The resulting control performances are formally analyzed using the averaging theory. Simulation results are presented illustrating the performances and the strong robustness of the proposed control strategy.
      PubDate: 2017-10-16T04:01:32.117176-05:
      DOI: 10.1002/asjc.1681
  • Learning Control of Robot Manipulators in Task Space
    • Authors: K. M. Dogan; E. Tatlicioglu, E. Zergeroglu, K. Cetin
      Abstract: Two important properties of industrial tasks performed by robot manipulators, namely, periodicity (i.e., repetitive nature) of the task and the need for the task to be performed by the end-effector, motivated this work. Not being able to utilize the robot manipulator dynamics due to uncertainties complicated the control design. In a seemingly novel departure from the existing works in the literature, the tracking problem is formulated in the task space and the control input torque is aimed to decrease the task space tracking error directly without making use of inverse kinematics at the position level. A repetitive learning controller is designed which “learns” the overall uncertainties in the robot manipulator dynamics. The stability of the closed-loop system and asymptotic end-effector tracking of a periodic desired trajectory are guaranteed via Lyapunov based analysis methods. Experiments performed on an in-house developed robot manipulator are presented to illustrate the performance and viability of the proposed controller.
      PubDate: 2017-10-16T04:01:20.526742-05:
      DOI: 10.1002/asjc.1648
  • State Space Constrained Iterative Learning Control for Robotic
    • Authors: Kaloyan Yovchev; Kamen Delchev, Evgeniy Krastev
      Abstract: Real-life work operations of industrial robotic manipulators are performed within a constrained state space. Such operations most often require accurate planning and tracking a desired trajectory, where all the characteristics of the dynamic model are taken into consideration. This paper presents a general method and an efficient computational procedure for path planning with respect to state space constraints. Given a dynamic model of a robotic manipulator, the proposed solution takes into consideration the influence of all imprecisely measured model parameters, making use of iterative learning control (ILC). A major advantage of this solution is that it resolves the well-known problem of interrupting the learning procedure due to a high transient tracking error or when the desired trajectory is planned closely to the state space boundaries. The numerical procedure elaborated here computes the robot arm motion to accurately track a desired trajectory in a constrained state space taking into consideration all the dynamic characteristics that influence the motion. Simulation results with a typical industrial robot arm demonstrate the robustness of the numerical procedure. In particular, the results extend the applicability of ILC in robot motion control and provide a means for improving the overall trajectory tracking performance of most robotic systems.
      PubDate: 2017-10-12T03:00:36.543553-05:
      DOI: 10.1002/asjc.1680
  • Characterization of Stochastic Mean-Field Type H− Index
    • Authors: Limin Ma; Yan Li, Tianliang Zhang
      Abstract: H− index of mean-field stochastic differential equations (SDE) is investigated in this paper. For systems with state- and input-dependent noise, we obtain a sufficient condition of H− index larger than some λ>0 via the solvability of differential Riccati equations (DRE). Especially, a necessary and sufficient condition is given for mean-field SDE with state-dependent noise, which generalize the corresponding results of classical stochastic systems to the mean-field stochastic models.
      PubDate: 2017-10-11T09:31:04.841734-05:
      DOI: 10.1002/asjc.1658
  • Continuous-Action XCSR with Dynamic Reward Assignment Dedicated to Control
           of Black-Box Mechanical Systems
    • Authors: Saeed Hashemnia; Masoud Shariat Panahi, Mohammad Mahjoob
      Abstract: A real-value classifier system (CSR) is improved by the introduction of a continuous domain of actions to be employed for control of mechanical systems where there is no information concerning the system's mathematical model. To enable the classifier system to handle real-world control problems where continuous (non-discrete) actions are required, the exploitation of fuzzy membership functions is proposed. To cope with the dynamic system's delayed response due to its mass inertia, a dynamic reward assignment mechanism is incorporated into the proposed CSR. This allows the rapid calculation of the reward and hence enables the controller to be used in such real time applications. To demonstrate the efficiency of the developed enhanced CSR, it is employed as the controller to balance an unmanned bicycle, without using bicycle properties for the design process of the enhanced CSR. Simulation results show that in terms of overshoot and settling time, the proposed classifier system outperforms traditional XCSR as well as some of the more common balance-control strategies reported in the literature, as verified using ADAMS software.
      PubDate: 2017-10-06T12:05:33.217513-05:
      DOI: 10.1002/asjc.1659
  • Exponential Stabilization of Switched Discrete-Time Systems with All
           Unstable Modes
    • Authors: Jiao Li; Zixiao Ma, Jun Fu
      Abstract: This paper studies the exponential stabilization of switched discrete-time systems whose subsystems are unstable. A new sufficient condition for the exponential stability of the class of systems is proposed. The result obtained is based on the determination of a lower bound of the maximum dwell time by virtue of the multiple Lyapunov functions method. The key feature is that the given stability condition does not need the value of the Lyapunov function to uniformly decrease at every switching instant. An example is provided to illustrate the effectiveness of the proposed result.
      PubDate: 2017-09-29T11:38:29.956257-05:
      DOI: 10.1002/asjc.1651
  • Dead-beat regulation of mechanical juggling systems
    • Authors: Laura Menini; Corrado Possieri, Antonio Tornambè
      Pages: 1 - 11
      Abstract: In this paper, mechanical systems subject to impacts and contacts, that would be not controllable if the impacts were absent (usually called jugglers), are considered. On the basis of an algorithm taken from the literature and of a new procedure to determine a reference trajectory for such a class of systems, a fully algorithmic procedure, able to compute a control input that achieves dead–beat regulation of the “uncontrollable” subsystem just by using impacts, is given. Such a procedure exploits some tools borrowed from algebraic geometry that allow to solve parametric systems of equalities and inequalities. A practical example of application of the given procedure is reported.
      PubDate: 2017-06-09T08:24:00.359781-05:
      DOI: 10.1002/asjc.1548
  • Global Practical Tracking for Nonlinear Systems With More Unknowns via
           Adaptive Output-Feedback
    • Authors: Shaoli Jin; Yungang Liu, Fengzhong Li
      Pages: 22 - 38
      Abstract: This paper investigates the global practical tracking via adaptive output-feedback for a class of uncertain nonlinear systems. Essentially different from the closely related literature, the system under investigation possesses unknown time-varying control coefficients and a polynomial-of-output growth rate, and meanwhile, the system nonlinearities and the reference signal allow serious unknowns. For this, an adaptive observer is designed to reconstruct the system unmeasured states, where a new dynamic gain is introduced to compensate the serious unknowns in the system nonlinearities and the reference signal. Based on this and by backstepping technique, an adaptive output-feedback controller is successfully designed, such that all the states of the closed-loop system are bounded, and the tracking error will be prescribed sufficiently small after a finite time. A numerical simulation is provided to demonstrate the effectiveness of the proposed method.
      PubDate: 2017-06-14T08:55:28.743431-05:
      DOI: 10.1002/asjc.1563
  • Fixed-Time Synchronization of a Class of Second-Order Nonlinear
           Leader-Following Multi-Agent Systems
    • Authors: Hua Li; Ming Zhu, Zhaobi Chu, Haibo Du, Guanghui Wen, Naif D. Alotaibi
      Pages: 39 - 48
      Abstract: The fixed-time synchronization problem for a class of second-order nonlinear multi-agent systems with a leader-follower architecture is investigated in this paper. To achieve the fixed-time tracking task, the design procedure is divided into two steps. At the first step, a distributed fixed-time observer is designed for each agent to estimate the leader's state in a fixed time. Then, at the second step, based on the technique of adding a power integrator, a fixed-time tracking controller for each agent is proposed such that the estimate leader's state can be tracked in a fixed time. Finally, an observer-based fixed-time controller is developed such that the leader can be tracked by all the followers in a fixed time, which can be predetermined. Simulations are presented to verify the effectiveness of the proposed approach.
      PubDate: 2017-07-13T06:15:30.391151-05:
      DOI: 10.1002/asjc.1585
  • Matrix form of Biconjugate Residual Algorithm to Solve the Discrete-Time
           Periodic Sylvester Matrix Equations
    • Authors: Masoud Hajarian
      Pages: 49 - 56
      Abstract: There are important relationships between the discrete-time linear periodic descriptor systems and the discrete-time periodic matrix equations. In the present paper, we introduce the matrix form of the biconjugate residual (BCR) algorithm for solving the discrete-time periodic Sylvester matrix equations AiXiBi+CiXi+1Di=Ei,i=1,2,.... It is shown that the introduced algorithm converges to the solutions within a finite number of iterations in the absence of round-off errors. Finally, three numerical examples are given to demonstrate the efficiency and the performance of the algorithm.
      PubDate: 2017-06-01T08:20:44.406753-05:
      DOI: 10.1002/asjc.1528
  • A neural differential evolution identification approach to nonlinear
           systems and modelling of shape memory alloy actuator
    • Authors: Son Ngoc Nguyen; Vinh Ho-Huu, Anh Pham Huy Ho
      Pages: 57 - 70
      Abstract: This paper proposes a hybrid modified differential evolution plus back-propagation (MDE-BP) algorithm to optimize the weights of the neural network model. In implementing the proposed training algorithm, the mutation phase of the differential evolution (DE) is modified by combining two mutation strategies rand/1 and best/1 to create trial vectors instead of only using one mutation operator or rand/1 or best/1 as the standard DE. The modification aims to balance the global exploration and local exploitation capacities of the algorithm in order to find potential global optimum solutions. Then the local searching ability of the back-propagation (BP) algorithm is applied in that region so as to swiftly converge to the optimum solution. The performance and efficiency of the proposed method is tested by identifying some benchmark nonlinear systems and modeling the shape memory alloy actuator. The proposed training algorithm is compared with the other algorithms, such as the traditional DE and BP algorithm. As a result, the proposed method can improve the accuracy of the identification process.
      PubDate: 2017-05-16T02:00:32.290316-05:
      DOI: 10.1002/asjc.1529
  • Synchronization of A Class of Uncertain Chaotic Systems with Lipschitz
           Nonlinearities Using State-Feedback Control Design: A Matrix Inequality
    • Authors: Saleh Mobayen; Fairouz Tchier
      Pages: 71 - 85
      Abstract: This paper proposes a new state-feedback stabilization control technique for a class of uncertain chaotic systems with Lipschitz nonlinearity conditions. Based on Lyapunov stabilization theory and the linear matrix inequality (LMI) scheme, a new sufficient condition formulated in the form of LMIs is created for the chaos synchronization of chaotic systems with parametric uncertainties and external disturbances on the slave system. Using Barbalat's lemma, the suggested approach guarantees that the slave system synchronizes to the master system at an asymptotical convergence rate. Meanwhile, a criterion to find the proper feedback gain vector F is also provided. A new continuous-bounded nonlinear function is introduced to cope with the disturbances and uncertainties and obtain a desired control performance, i.e. small steady-state error and fast settling time. Several criteria are derived to guarantee the asymptotic and robust stability of the uncertain master–slave systems. Furthermore, the proposed controller is independent of the order of the system's model. Numerical simulation results are displayed with an expected satisfactory performance compared to the available methods.
      PubDate: 2017-04-19T09:58:10.881521-05:
      DOI: 10.1002/asjc.1512
  • A Game Theory-Based Coordination and Optimization Control Methodology for
           a Wind Power-Generation Hybrid Energy Storage System
    • Authors: Xiaojuan Han; Xiaoling Yu, Yubo Liang, Jianlin Li, Zekun Zhao
      Pages: 86 - 103
      Abstract: The installation of an energy storage system to smooth the fluctuations of wind power output at a certain wind farm can improve the electric quality of wind power connected to the grid. In order to reduce the capacity of the energy storage system and the loss of the battery and make full use of the advantages of the super-capacitor, a game theory-based coordination and optimization control methodology for a wind power-generation and storage system (WPGSS) is presented in this paper. Aiming to maximize the WPGSS's overall profit, the methodology, taking the smoothing effect of the active power, the cost of the hybrid energy storage system (HESS), and the earnings of wind power connected to grid into consideration, builds a coordination and optimization control model based on the ensemble empirical mode decomposition (EEMD) algorithm combined with game theory. In the model, the low-pass filtering signal obtained by the EEMD is used to smooth the fluctuations of wind power output, and the band-pass filtering signal and high-pass filtering signal obtained by the EEMD are used to achieve energy distribution among the HESS. Cooperative game theory is introduced to determine the filter order of the EEMD according to the state of charge (SOC) of the HESS and to achieve the coordination and optimization control of the WPGSS taking the maximization of the WPGSS's overall profit as the game's goal constraint conditions. The genetic algorithm (GA) and particle swarm optimization (PSO) are adopted to solve the model's optimal solution, and the simulation tests were realized to verify the effectiveness of the proposed method, which can provide a theoretical basis for the coordination and optimization control of the WPGSS.
      PubDate: 2017-04-26T10:35:58.743744-05:
      DOI: 10.1002/asjc.1518
  • Data-Driven Adaptive Critic Approach for Nonlinear Optimal Control via
           Least Squares Support Vector Machine
    • Authors: Jingliang Sun; Chunsheng Liu, Nian Liu
      Pages: 104 - 114
      Abstract: This paper develops an online adaptive critic algorithm based on policy iteration for partially unknown nonlinear optimal control with infinite horizon cost function. In the proposed method, only a critic network is established, which eliminates the action network, to simplify its architecture. The online least squares support vector machine (LS-SVM) is utilized to approximate the gradient of the associated cost function in the critic network by updating the input-output data. Additionally, a data buffer memory is added to alleviate computational load. Finally, the feasibility of the online learning algorithm is demonstrated in simulation on two example systems.
      PubDate: 2017-05-04T03:10:38.999901-05:
      DOI: 10.1002/asjc.1517
  • Computationally-Light Non-Lifted Data-Driven Norm-Optimal Iterative
           Learning Control
    • Authors: Ronghu Chi; Zhongsheng Hou, Shangtai Jin, Biao Huang
      Pages: 115 - 124
      Abstract: Computational complexity and model dependence are two significant limitations on lifted norm optimal iterative learning control (NOILC). To overcome these two issues and retain monotonic convergence in iteration, this paper proposes a computationally-efficient non-lifted NOILC strategy for nonlinear discrete-time systems via a data-driven approach. First, an iteration-dependent linear representation of the controlled nonlinear process is introduced by using a dynamical linearization method in the iteration direction. The non-lifted NOILC is then proposed by utilizing the input and output measurements only, instead of relying on an explicit model of the plant. The computational complexity is reduced by avoiding matrix operation in the learning law. This greatly facilitates its practical application potential. The proposed control law executes in real-time and utilizes more control information at previous time instants within the same iteration, which can help improve the control performance. The effectiveness of the non-lifted data-driven NOILC is demonstrated by rigorous analysis along with a simulation on a batch chemical reaction process.
      PubDate: 2017-06-14T08:40:25.689516-05:
      DOI: 10.1002/asjc.1569
  • Non-Fragile Simultaneous Actuator and Sensor Fault-Tolerant Control Design
           for Markovian Jump Systems Based on Adaptive Observer
    • Authors: Dunke Lu; Guohui Zeng, Jin Liu
      Pages: 125 - 134
      Abstract: In this paper, a non-fragile fault-tolerant control strategy is developed for a class of Markovian jump systems against actuator and sensor faults. By taking the sensor fault as an augmented state, the original system is transformed into a descriptor one. Then, an adaptive observer is designed for the descriptor system to simultaneously estimate the states, actuator fault and sensor fault. Moreover, a non-fragile fault-tolerant controller is designed to stabilize the resulting closed-loop system, by using the information of the actuator fault reconstruction. Owing to the non-fragile property, this controller proves to be highly stable against its intrinsic perturbations. Sufficient conditions of the existence of the designed observer and fault-tolerant controller are given in terms of linear matrix inequalities. Finally, a practical example of F-404 aircraft is provided to demonstrate the effectiveness of the proposed method.
      PubDate: 2017-06-20T12:47:11.114141-05:
      DOI: 10.1002/asjc.1534
  • Constrained Nonlinear-Based Optimisation Applied to Fuzzy PID Controllers
    • Authors: Paulo Gil; Ana Sebastião, Catarina Lucena
      Pages: 135 - 148
      Abstract: This paper aims at studying the optimal Fuzzy Proportional–Integral– Derivative controllers' tuning problem by considering two different nonlinear constrained optimisation techniques. One relying on a Hessian-based analytical approach, and the other based on a differential evolutionary method. In the case of offline implementation, two basic frameworks are under assessment, depending on the controller parameters to be adjusted. For online scaling factors and membership functions' width tuning, its implementation is based on the parallel computation paradigm. The performance index is described by a quadratic cost function, taking as arguments control errors and the increment of control actions. Constraints on the scaling factors, membership functions' width, as well as on the system inputs and outputs are also included in the optimisation problem. Experiments carried out on a benchmark system favour the offline joint optimisation based on the differential evolutionary approach of scaling factors and membership functions' width.
      PubDate: 2017-06-09T05:26:30.126752-05:
      DOI: 10.1002/asjc.1549
  • Fuzzy Sliding-mode Strategy for Air–fuel Ratio Control of Lean-burn
           Spark Ignition Engines
    • Authors: Hsiu-Ming Wu; Reza Tafreshi
      Pages: 149 - 158
      Abstract: Minimization of emissions of carbon dioxide and harmful pollutants and maximization of fuel economy for lean-burn spark ignition (SI) engines relies to a large extent on precise air–fuel ratio (AFR) control. However, the main challenge of AFR control is the large time-varying delay in lean-burn engines. Since the system is usually subject to external disturbances and uncertainties, a high level of robustness in AFR control design must be considered. We propose a fuzzy sliding-mode control (FSMC) to track the desired AFR in the presence of periodic disturbances. The proposed method is model free and does not need any system characteristics. Based on the fuzzy system input–output data, two scaling factors are first employed to normalize the sliding surface and its derivative. According to the concept of the if-then rule, an appropriate rule table for the logic system is designed. Then, based on Lyapunov stability criteria, the output scaling factor is determined such that the closed-loop stability of the internal dynamics with uniformly ultimately bounded (UUB) performance is guaranteed. Finally, the feasibility and effectiveness of the proposed control scheme are evaluated under various operating conditions. The baseline controllers, namely, a PI controller with Smith predictor and sliding-mode controller, are also used to compare with the proposed FSMC. It is shown that the proposed FSMC has superior regulation performance compared to the baseline controllers.
      PubDate: 2017-05-08T04:35:38.635376-05:
      DOI: 10.1002/asjc.1544
  • Improved Controller Design for Uncertain Positive Systems and its
           Extension to Uncertain Positive Switched Systems
    • Authors: Junfeng Zhang; Xudong Zhao, Ridong Zhang, Yun Chen
      Pages: 159 - 173
      Abstract: This paper is concerned with the controller design of uncertain positive systems. First, we decompose the feedback gain matrix Km×n into m×n non-negative components and m×n non-positive components. For the non-negative components, each component contains only one positive element and the other elements are zero. Similarly, each non-positive component contains only one negative element and the other ones are zero. Then, a simple and effective controller design approach of uncertain positive systems is proposed by incorporating the decomposed feedback gain matrix into the resulting closed-loop systems and further applied to uncertain positive switched systems. It is shown that the designed controller is less conservative compared with those in the literature. Finally, a numerical example is provided to verify the validity of the proposed design.
      PubDate: 2017-06-09T05:27:09.451634-05:
      DOI: 10.1002/asjc.1553
  • Design of Regulatory Traffic Light Control Systems with Synchronized Timed
           Petri Nets
    • Authors: Yi-Sheng Huang; Yi-Shun Weng, MengChu Zhou
      Pages: 174 - 185
      Abstract: Fixing the phases is one of the common methods to control an urban traffic network. Once a road is filled with a high traffic flow approaching its capacity, the conventional traffic light controller is not able to handle this traffic congestion phenomenon well. In this paper, we propose a novel regulatory traffic light control system to handle such traffic congestion by using synchronized timed Petri nets (STPNs). Three kinds of intersections in an urban traffic network are defined and employed to demonstrate our new regulatory traffic light control system models. Finally, the liveness and reversibility of the proposed STPN models are proven through the reachability graph analysis method. To our knowledge, this is the first work that solves a traffic congestion problem with a regulatory traffic light control technique that is effective in preventing vehicles from entering traffic congestion zones.
      PubDate: 2017-05-08T04:36:03.15892-05:0
      DOI: 10.1002/asjc.1536
  • Synchronization of Uncertain Complex Networks with Time-Varying Node Delay
           and Multiple Time-Varying Coupling Delays
    • Authors: Chuan Zhang; Xingyuan Wang, Chunpeng Wang, Wenjie Zhou
      Pages: 186 - 195
      Abstract: This paper investigates the synchronization problem of a class of complex dynamical networks via an adaptive control method. It differs from existing works in considering intrinsic delay and multiple different time-varying coupling delays, and uncertain couplings. A simple approach is used to linearize the uncertainties with the norm-bounded condition. Simple but suitable adaptive controllers are designed to drive all nodes of the complex network locally and globally synchronize to a desired state. In addition, several synchronization protocols are deduced in detail by virtue of Lyapunov stability theory and a Cauchy matrix inequality. Finally, a simulation example is presented, in which the dynamics of each node are time-varying delayed Chua chaotic systems, to demonstrate the effectiveness of the proposed adaptive method.
      PubDate: 2017-06-09T05:27:53.634067-05:
      DOI: 10.1002/asjc.1539
  • Discrete-Valued Model Predictive Control Using Sum-of-Absolute-Values
    • Authors: Takuya Ikeda; Masaaki Nagahara
      Pages: 196 - 206
      Abstract: In this paper, we propose a new design method of discrete-valued model predictive control for continuous-time linear time-invariant systems based on sum-of-absolute-values (SOAV) optimization. The finite-horizon discrete-valued control design is formulated as an SOAV optimal control, which is an expansion of L1 optimal control. It is known that under the normality assumption, the SOAV optimal control exists and takes values in a fixed finite alphabet set if the initial state lies in a subset of the reachable set. In this paper, we analyze the existence and discreteness property for systems that do not necessarily satisfy the normality assumption. Then, we extend the finite-horizon SOAV optimal control to infinite-horizon model predictive control (MPC). We give sufficient conditions for the recursive feasibility and the stability of the MPC-based feedback system in the presence of bounded noise. Simulation results show the effectiveness of the proposed method.
      PubDate: 2017-09-05T08:00:43.83525-05:0
      DOI: 10.1002/asjc.1596
  • A New Approach for Vehicle Lateral Velocity and Yaw Rate Control with
    • Authors: Hao Sun; Han Zhao, Kang Huang, Shengchao Zhen
      Pages: 216 - 227
      Abstract: In order to attain excellent stability and maneuverability to ensure safety and ride-comfort, the lateral velocity and yaw rate of a vehicle are expected to be controlled at any desired values simultaneously. A basic manipulation model of a vehicle with two degrees of freedom which requires two independent control inputs (front and rear steering angle) is constructed. In this model, we consider the mass and the moment of inertia of the vehicle are the uncertain parameters which are (possibly) fast-varying. However, no further information, except that the uncertainties are bounded, is assumed. Furthermore, the bound is unknown. An adaptive robust control methodology based on the Udwadia and Kalaba approach which guarantees uniform boundedness and uniform ultimate boundedness is proposed to drive the system to follow the pre-specified constraints approximately. The adaptive law is of leakage type which can adjust itself based on the tracking error. The numerical simulation results conducted by MATLAB demonstrate the ease and effectiveness of implementation.
      PubDate: 2017-05-24T05:15:59.221525-05:
      DOI: 10.1002/asjc.1531
  • A modified gradient-based algorithm for solving extended
           Sylvester-conjugate matrix equations
    • Authors: Mohamed A. Ramadan; Ahmed M. E. Bayoumi
      Pages: 228 - 235
      Abstract: In this paper, we present a modified gradient-based algorithm for solving extended Sylvester-conjugate matrix equations. The idea is from the gradient-based method introduced in [14] and the relaxed gradient-based algorithm proposed in [16]. The convergence analysis of the algorithm is investigated. We show that the iterative solution converges to the exact solution for any initial value based on some appropriate assumptions. A numerical example is given to illustrate the effectiveness of the proposed method and to test its efficiency and accuracy compared with those presented in [14] and [16].
      PubDate: 2017-06-14T08:35:24.006632-05:
      DOI: 10.1002/asjc.1574
  • Global PID Control of Robot Manipulators Equipped with PMSMs
    • Authors: V. M. Hernández-Guzmán; J. Orrante-Sakanassi
      Pages: 236 - 249
      Abstract: This paper is concerned with PID position regulation of robot manipulators actuated by permanent magnet synchronous motors (PMSMs). We present a global asymptotic stability proof when the electric dynamics of these actuators is taken into account. Our controller is so simple that it differs from standard field oriented control (SFOC) of PMSMs in only three simple nonlinear terms that have to be added and a nonlinear PID controller which is used instead of a classical PID controller. Thus, our proposal represents the closest result to SFOC of PMSMs provided with a formal global asymptotic stability proof. We present an advancement, if modest, towards presenting a global stability proof for SFOC when used in robotics.
      PubDate: 2017-06-07T06:15:29.290754-05:
      DOI: 10.1002/asjc.1532
  • A Seventh-Degree Cubature Kalman Filter
    • Authors: Dong Meng; Lingjuan Miao, Haijun Shao, Jun Shen
      Pages: 250 - 262
      Abstract: The fifth-degree cubature Kalman filter (CKF) has been proved to be a kind of algorithm that has higher precision than the third-degree CKF and unscented Kalman filter (UKF). In order to further improve the performance of CKF, the seventh-degree CKF is proposed in this paper by expanding the spherical-radial rule, and a new kind of deterministic sampling method is derived based on the seventh-degree cubature rule. Through the comparison in target tracking simulation, the seventh-degree CKF methods are shown to be able to enhance filtering precision compared to the fifth-degree CKF, the third-degree CKF and the UKF filter.
      PubDate: 2017-05-26T07:40:51.250428-05:
      DOI: 10.1002/asjc.1537
  • Quasi-Time-Dependent H∞ Controller for Discrete-Time Switched Linear
           Systems With Mode-Dependent Average Dwell-Time
    • Authors: Hui Zheng; Guanghui Sun, Yu Ren, Congcong Tian
      Pages: 263 - 275
      Abstract: This paper is concerned with the stability and stabilization problem of a class of discrete-time switched systems with mode-dependent average dwell time (MDADT). A novel Lyapunov function, which is both mode-dependent (MD) and quasi-time-dependent (QTD), is established. The new established Lyapunov function is allowed to increase at some certain time instants. A QTD H∞ controller is designed such that the system is globally uniformly asymptotically stable (GUAS) and has a guaranteed H∞ performance index. The new QTD robust controller designed in this paper is less conservative than the mode independent one which is frequently considered in literatures. Finally, a numerical example and a practical example are provided to illustrate the effectiveness of the developed results.H∞
      PubDate: 2017-08-10T08:50:53.516889-05:
      DOI: 10.1002/asjc.1568
  • Exponential Stability and Stabilization for Quadratic Discrete-Time
           Systems with Time Delay
    • Authors: Fu Chen; Shugui Kang, Shidong Qiao, Caixia Guo
      Pages: 276 - 285
      Abstract: In this note, we deal with the exponential stability and stabilization problems for quadratic discrete-time systems with time delay. By using the quadratic Lyapunov function and a so called ‘Finsler's lemma', delay-independent sufficient conditions for local stability and stabilization for quadratic discrete-time systems with time delay are derived in terms of linear matrix inequalities (LMIs). Based on these sufficient conditions, iterative linear matrix inequality algorithms are proposed for maximizing the stability regions of the systems. Finally, two examples are given to illustrate the effectiveness of the methods presented in this paper.
      PubDate: 2017-05-22T10:16:11.958838-05:
      DOI: 10.1002/asjc.1540
  • Stabilization of Stochastic Coupled Systems With Time Delay Via Feedback
           Control Based on Discrete-Time State Observations
    • Authors: Yongbao Wu; Mengjie Huo, Wenxue Li
      Pages: 298 - 311
      Abstract: In this paper, the stabilization of stochastic coupled systems (SCSs) with time delay via feedback control based on discrete-time state observations is investigated. We use the discrete-time state feedback control to stabilize stochastic coupled systems with time delay. Moreover, by employing Lyapunov method and graph theory, the upper bound of the duration between two consecutive state observations is obtained and some criteria are established to guarantee the stabilization in sense of H∞-stability and mean-square asymptotic stability of SCSs with time delay via feedback control based on discrete-time state observations. In addition, to verify the theoretical results, stochastic coupled oscillators with time delay are performed. At last, a numerical example is given to illustrate the applicability and effectiveness of our analytical results.
      PubDate: 2017-06-01T08:10:48.292709-05:
      DOI: 10.1002/asjc.1542
  • Interpolatory Model Order Reduction Method for Second Order Systems
    • Authors: Zhi-Yong Qiu; Yao-Lin Jiang, Jia-Wei Yuan
      Pages: 312 - 322
      Abstract: In this paper, we propose a structure-preserving model reduction method for second-order systems based on H2 optimal interpolation. In the iterative process of the proposed method, an algorithm is presented for selecting interpolation points in order to control the dimension of the reduced system. Result about error analysis of the interpolation points selection algorithm is obtained and the property of the new model reduction method is also given. Finally, three numerical examples are performed to illustrate the effectiveness of the new method.
      PubDate: 2017-06-05T04:28:46.030872-05:
      DOI: 10.1002/asjc.1550
  • Boundary Control for a Vibrating String System with Bounded Input
    • Authors: Zhijia Zhao; Yu Liu, Fei Luo
      Pages: 323 - 331
      Abstract: In this study, we deal with the control problem of a vibrating string system under the condition of restricted input and external disturbance. The major objectives are the development of a boundary vibration control scheme for globally stabilizing the string system and simultaneously for compensating the effect of the input saturation, and the design of a disturbance observer for tracking the external disturbance. To this end, a boundary control is proposed based on smooth hyperbolic function to suppress the vibration and eliminate the input restriction effect, and a disturbance observer is employed to mitigate the external disturbance. The asymptotic stability of the controlled system is demonstrated employing the extended LaSalle's invariance principle. In order to verify the control performance of the proposed control, simulation results are presented by the choice of proper control design parameters.
      PubDate: 2017-06-09T05:00:48.036012-05:
      DOI: 10.1002/asjc.1555
  • Adaptive Finite-Time Robust Control of Nonlinear Delay Hamiltonian Systems
           Via Lyapunov-Krasovskii Method
    • Authors: Renming Yang; Rongwei Guo
      Pages: 332 - 342
      Abstract: This paper investigates the adaptive finite-time robust control problem of a class of nonlinear time-delay Hamiltonian systems via the Lyapunov-Krasovskii (L-K) method, and proposes some delay-dependent results on the issue. Different from existing works, this paper first presents a time-varying finite-time stability (FTS) criterion via an L-K functional approach, and obtains two FTS conditions by constructing specific L-K functionals. Then, the adaptive finite-time robust control problem is investigated for nonlinear time-delay port-controlled Hamiltonian (PCH) systems, and a control design procedure is presented. Finally, the effectiveness of the results is demonstrated by an illustrative example.
      PubDate: 2017-06-29T04:37:01.469312-05:
      DOI: 10.1002/asjc.1556
  • Online Algebraic Identification Approach of Continuous Linear Time Delay
    • Authors: Abdelbacet Mhamdi; Kaouther Ibn Taarit, Moufida Ksouri
      Pages: 343 - 355
      Abstract: In this paper, we propose an online algebraic method to identify linear continuous time delay process from step response, in presence of unknown initial state and constant load disturbance. The identification mechanism is split into two sequential steps. The time delay and dynamic of the plant is estimated firstly through a spectral formulation. In the next stage, the transient regime is deduced from a linear regression. To improve the robustness of the proposed method, a local convolution by sigmoid function is proposed. Simulation results are provided, at last, to show the effectiveness of our conceived approach.
      PubDate: 2017-06-07T06:15:37.437516-05:
      DOI: 10.1002/asjc.1547
  • Iterative Learning Control for Linear Discrete-Time Systems with Unknown
           High-Order Internal Models: A Time-Frequency Analysis Approach
    • Authors: Qiao Zhu; Jian-Xin Xu, Deqing Huang, Guang-Di Hu
      Pages: 370 - 385
      Abstract: This work focuses on the iterative learning control (ILC) for linear discrete-time systems with unknown initial state and disturbances. First, multiple high-order internal models (HOIMs) are introduced for the reference, initial state, and disturbances. Both the initial state and disturbance consist of two components, one strictly satisfies HOIM and the other is random bounded. Then, an ILC scheme is constructed according to an augmented HOIM that is the aggregation of all HOIMs. For all known HOIMs, an ILC design criterion is introduced to achieve satisfactory tracking performance based on the 2-D H∞ theory. Next, the case with unknown HOIMs is discussed, where a time-frequency-analysis (TFA)-based ILC algorithm is proposed. In this situation, it is shown that the tracking error inherits the unknown augmented HOIM that is an aggregation of all unknown HOIMs. Then, a TFA-based method, e.g., the short-time Fourier transformation (STFT), is employed to identify the unknown augmented HOIM, where the STFT could ignore the effect of the random bounded initial state and disturbances. A new ILC law is designed for the identified unknown augmented HOIM, which has the ability to reject the unknown the initial state and disturbances that strictly satisfy HOIMs. Finally, a gantry robot system with iteration-invariant or slowly-varying frequencies is given to illustrate the efficiency of the proposed TFA-based ILC algorithm.
      PubDate: 2017-06-14T20:10:19.680776-05:
      DOI: 10.1002/asjc.1552
  • Singular Perturbation Method for Smart Building Temperature Control Using
           Occupant Feedback
    • Authors: Santosh K. Gupta; Koushik Kar, Sandipan Mishra, John T. Wen
      Pages: 386 - 402
      Abstract: In this work we propose a framework for incorporating occupant feedback towards temperature control of multi-occupant spaces, and analyze it using singular perturbation theory. Such a system would typically have to accommodate occupants with different temperature preferences, and incorporate that with thermal correlation among multiple zones to obtain optimal control for minimization of occupant discomfort and energy cost. In current practice, an acceptable temperature set point for the occupancy level of the zone is estimated, and the control law is designed to maintain temperature at the corresponding set point irrespective of the changes in occupancy and the preferences of multiple occupants. Proposed algorithm incorporates active occupant feedback to minimize aggregate user discomfort and total energy cost. Occupant binary feedback in the form of hot/cold or thermal comfort preference input is used by the control algorithm. The control algorithm also takes the energy cost into account, trading it off optimally with the aggregate occupant discomfort. For convergence to the optimal, sufficient separation between the occupant feedback frequency and the temperature dynamics of system is necessary; in absence of which, the occupant feedback provided do not correctly reflect the effect of current control input value on occupant discomfort. Under sufficient time scale separation, using singular perturbation theory, we establish the stability condition of the system and show convergence of the proposed solution to the desired temperature that minimizes energy cost plus occupant discomfort. The occupants are only assumed to be rational in that they choose their own comfort range to minimize individual thermal discomfort. Optimization for a multi-zone building also takes into account the thermal correlation among different zones. Simulation study with parameters based on our test facility, and experimental study conducted in the same building demonstrates performance of the algorithm under different occupancy and ambient conditions.
      PubDate: 2017-07-25T08:30:56.812534-05:
      DOI: 10.1002/asjc.1587
  • Fractional Order Controller for Controlling Power System Dynamic Behavior
    • Authors: S. P. Nangrani; S. S. Bhat
      Pages: 403 - 414
      Abstract: Several power system networks exhibit bifurcation, chaos and instability behavior for some specific values of initial conditions and parameters. Angle and voltage instability behavior of power system is prone to such specific values and parameter variation. This paper proposes fractional order proportional integral controller (FOPI) based state feedback for precise and robust control of such undesirable behavior. This paper proposes first ever use of FOPI for precise rotor angle control leading to instability in power system dynamic behavior. FOPI controller is applied on generator connected to IEEE-14 bus benchmark model. The ripple frequency of turbine torque is chosen as one of the cause of instability behavior of power system, which has the potential possibility to push system behavior to chaos and instability mode. The proposed FOPI controller design will inhibit the dynamic behavior of power system to safe and stable bounds. Proposed strategy can be applied to other large power system models as well due to its simplicity in design philosophy. Several phase plane trajectories with and without FOPI controller are used to support the viewpoint.
      PubDate: 2017-06-15T09:15:25.622434-05:
      DOI: 10.1002/asjc.1557
  • On Finite-Time Stabilization of Active Disturbance Rejection Control for
           Uncertain Nonlinear Systems
    • Authors: Qing Wang; Maopeng Ran, Chaoyang Dong
      Pages: 415 - 424
      Abstract: This paper designs the active disturbance rejection control (ADRC) to achieve finite-time stabilization for a class of uncertain nonlinear systems. The proposed control incorporates both an extended state observer (ESO) as well as an adaptive sliding mode controller. The ESO is utilized to estimate the full system states and the total uncertainties, and the adaptive strategy is incorporated to deal with the estimation errors. It is proved that, with the application of the proposed control law, semi-global finite-time stabilization can be achieved. Effectiveness of the proposed method is illustrated with a numerical example.
      PubDate: 2017-06-30T09:35:27.274868-05:
      DOI: 10.1002/asjc.1558
  • Robust Model Predictive Control for Linear Discrete-Time System With
           Saturated Inputs and Randomly Occurring Uncertainties
    • Authors: Jianhua Wang; Yan Song, Sunjie Zhang, Shuai Liu, Abdullah M. Dobaie
      Pages: 425 - 436
      Abstract: This paper investigates the robust model predictive control (RMPC) problem for a class of linear discrete-time systems subject to saturated inputs and randomly occurring uncertainties (ROUs). Due to limited bandwidth of the network channels, the networked transmission would inevitably lead to incomplete measurements and subsequently unavoidable network-induced phenomenon that include saturated inputs as a special case. The saturated inputs are assumed to be sector-bounded in the underlying system. In addition, the ROUs are taken into account to reflect the difficulties in precise system modelling, where the norm-bounded uncertainties are governed by certain uncorrelated Bernoulli-distributed white noise sequences with known conditional probabilities. Based on the invariant set theory, a sufficient condition is derived to guarantee the robust stability in the mean-square sense of the closed-loop system. By employing the convex optimization technique, the controller gain is obtained by solving an optimization problem with some inequality constraints. Finally, a simulation example is employed to demonstrate the effectiveness of the proposed RMPC scheme.
      PubDate: 2017-06-15T09:10:26.759052-05:
      DOI: 10.1002/asjc.1565
  • The Unified Frame of Alternating Direction Method of Multipliers for Three
           Classes of Matrix Equations Arising in Control Theory
    • Authors: Yi-Fen Ke; Chang-Feng Ma
      Pages: 437 - 454
      Abstract: In this paper, the unified frame of alternating direction method of multipliers (ADMM) is proposed for solving three classes of matrix equations arising in control theory including the linear matrix equation, the generalized Sylvester matrix equation and the quadratic matrix equation. The convergence properties of ADMM and numerical results are presented. The numerical results show that ADMM tends to deliver higher quality solutions with less computing time on the tested problems.
      PubDate: 2017-07-11T04:31:24.267014-05:
      DOI: 10.1002/asjc.1560
  • Spacecraft Anti-Unwinding Attitude Control Using Second-Order Sliding Mode
    • Authors: Pyare Mohan Tiwari; S. Janardhanan, Mashuq un-Nabi
      Pages: 455 - 468
      Abstract: This paper presents an anti-unwinding control method for the attitude stabilization of a rigid spacecraft. Quaternion has double stable equilibrium and this may cause unwinding problems in spacecraft attitude control if both the equilibria are not considered in control design. Here, the initial condition of scalar quaternion is included in sliding surface and an anti-unwinding control method is formulated in second-order sliding mode. The presented second-order sliding mode controller can alleviate chattering and ensure a smooth control for actuator. Further, to eliminate the need of advance information about bounds of uncertainty and external disturbance, adaptive laws are applied to estimate the controller gains. The closed-loop stability is proved using the Lyapunov stability theory. In conclusion, a simulation is conducted in the presence of inertia uncertainty and external disturbances and it is found that the presented control method is efficient to negate the effect of inertia uncertainty and external disturbances, alleviate chattering, eliminate unwinding, and ensure high accuracy and steady state precision.
      PubDate: 2017-08-25T11:58:09.971487-05:
      DOI: 10.1002/asjc.1601
  • Exponential Synchronization of Memristive Chaotic Recurrent Neural
           Networks Via Alternate Output Feedback Control
    • Authors: Xiaofan Li; Jian-an Fang, Huiyuan Li
      Pages: 469 - 482
      Abstract: This paper considers the global exponential synchronization problem of two memristive chaotic recurrent neural networks with time-varying delays using periodically alternate output feedback control. First, the periodically alternate output feedback control rule is designed for the global exponential synchronization of two memristive chaotic recurrent neural networks. Then, according to the Lyapunov stability theory, we construct an appropriate Lyapunov-Krasovskii functional to derive several new sufficient conditions guaranteeing exponential synchronization of two memristive chaotic recurrent neural networks under periodically alternate output feedback control. Compared with existing results on synchronization conditions on the basis of linear matrix inequalities of memristive chaotic recurrent neural networks, the derived results complement, extend earlier related results, and are also easy to validate in this paper. An illustrative example is provided to illustrate the effectiveness of the synchronization criteria.
      PubDate: 2017-06-15T09:15:39.95988-05:0
      DOI: 10.1002/asjc.1562
  • Lebesgue-p NORM Convergence OF Fractional-Order PID-Type Iterative
           Learning Control for Linear Systems
    • Authors: Lei Li
      Pages: 483 - 494
      Abstract: This paper discusses first- and second-order fractional-order PID-type iterative learning control strategies for a class of Caputo-type fractional-order linear time-invariant system. First, the additivity of the fractional-order derivative operators is exploited by the property of Laplace transform of the convolution integral, whilst the absolute convergence of the Mittag-Leffler function on the infinite time interval is induced and some properties of the state transmit function of the fractional-order system are achieved via the Gamma and Bata function characteristics. Second, by using the above properties and the generalized Young inequality of the convolution integral, the monotone convergence of the developed first-order learning strategy is analyzed and the monotone convergence of the second-order learning scheme is derived after finite iterations, when the tracking errors are assessed in the form of the Lebesgue-p norm. The resultant convergences exhibit that not only the fractional-order system input and output matrices and the fractional-order derivative learning gain, but also the system state matrix and the proportional learning gain, and fractional-order integral learning gain dominate the convergence. Numerical simulations illustrate the validity and the effectiveness of the results.
      PubDate: 2017-05-26T07:45:32.902974-05:
      DOI: 10.1002/asjc.1561
  • Optimistic Value Model of Indefinite LQ Optimal Control for Discrete-Time
           Uncertain Systems
    • Authors: Yuefen Chen; Yuanguo Zhu
      Pages: 495 - 510
      Abstract: Uncertainty theory is a branch of mathematics which provides a new tool to deal with the human uncertainty. Based on uncertainty theory, this paper proposes an optimistic value model of discrete-time linear quadratic (LQ) optimal control, whereas the state and control weighting matrices in the cost function are indefinite, the system dynamics are disturbed by uncertain noises. With the aid of the Bellman's principle of optimality in dynamic programming, we first present a recurrence equation. Then, a necessary condition for the state feedback control of the indefinite LQ problem is derived by using the recurrence equation. Moreover, a sufficient condition of well-posedness for the indefinite LQ optimal control is given. Finally, a numerical example is presented by using the obtained results.
      PubDate: 2017-07-07T10:05:56.537589-05:
      DOI: 10.1002/asjc.1591
  • Design of Optimal Petri Net Supervisors for Flexible Manufacturing Systems
           via Weighted Inhibitor Arcs
    • Authors: XuYa Cong; Chao Gu, Murat Uzam, YuFeng Chen, Abdulrahman M. Al-Ahmari, NaiQi Wu, MengChu Zhou, ZhiWu Li
      Pages: 511 - 530
      Abstract: This paper develops an approach to the design of an optimal Petri net supervisor that enforces liveness to flexible manufacturing systems. The supervisor contains a set of observer places with weighted inhibitor arcs. An observer place with a weighted inhibitor arc is used to forbid a net from yielding an illegal marking by inhibiting the firing of a transition at a marking while ensuring that all legal markings are preserved. A marking reduction technique is presented to decrease the number of considered markings, which can dramatically lower the computational burden of the proposed approach. An integer linear program is presented to simplify the supervisory structure by minimizing the number of observer places. Finally, several examples are used to shed light on the proposed approach which can lead to an optimal supervisor for the net models that cannot be optimally controlled via pure Petri net supervisors.
      PubDate: 2017-09-15T12:10:58.135926-05:
      DOI: 10.1002/asjc.1583
  • Influence of the Tensor Product Model Representation of qLPV Models on the
           Feasibility of Linear Matrix Inequality Based Stability Analysis
    • Authors: Alexandra Szollosi; Peter Baranyi
      Pages: 531 - 547
      Abstract: The paper investigates and proves the statement, that the convex hull of the polytopic tensor product (TP) model representation influences the feasibility of linear matrix inequality (LMI) based stability analysis methods. The proof is based on a complex stability analysis example of a given quasi linear parameter varying (qLPV) state-space model. Specifically, the three degree of freedom (3-DoF) aeroelastic wing section model including Stribeck friction is used as the tool for the example model. The proof is achieved by utilizing TP model transformation and LMI based tools. As a first step, numerous TP model type control solutions holding different convex hulls are systematically derived of the qLPV model via LMI based control design methods. As a second step, each control solution is further equivalently transformed for different TP model representations holding different convex hulls. Finally, the stability of all solutions over all TP model representations are checked via LMI based stability analysis methods. As a result of the two steps, a two dimensional (2D) convex hull space is attained for the 3-DoF aeroelastic wing section model. The two dimensions are denoted by the LMI based control design and the LMI based stability analysis for different convex hulls. Based on the numerical results, a detailed, comprehensive analysis is provided. The paper as a novelty proves the statement, that the polytopic TP model representation of a given control solution strongly influences the feasibility of LMI based stability analysis methods.
      PubDate: 2017-07-11T04:32:19.344138-05:
      DOI: 10.1002/asjc.1566
  • A Consensus Protocol over Noisy Two-Layered Networks with Cooperative and
           Antagonistic Interactions
    • Authors: L. T. H. Nguyen; T. Wada, I. Masubuchi, T. Asai, Y. Fujisaki
      Pages: 548 - 557
      Abstract: This study is concerned with the consensus problems of multi-agent systems with cooperative and antagonistic noisy interactions described by two-layered network. That is, each agent is simultaneously influenced by the force of attraction and repulsion between each neighboring agents in cooperative and antagonistic layers. A distributed algorithm for achieving the consensus in a probabilistic sense is proposed and its sufficient conditions are clarified. The conditions tell us rigorous stopping rules which enable us to know the number of iterations that achieves consensus within a prespecified accuracy and probability. Some applications of consensus problems with cooperative and antagonistic interactions are shown through numerical examples.
      PubDate: 2017-06-14T08:30:43.59248-05:0
      DOI: 10.1002/asjc.1554
  • Nonlinear Constrained Optimal Control Problems and Cardinal Hermite
           Interpolant Multiscaling Functions
    • Authors: Elmira Ashpazzadeh; Mehrdad Lakestani, Mohsen Razzaghi
      Pages: 558 - 567
      Abstract: In this paper, a numerical method for solving nonlinear quadratic optimal control problems with inequality constraints is presented. The method is based upon cardinal Hermite interpolant multiscaling function approximation. The properties of these multiscaling functions are presented first. These properties are then utilized to reduce the solution of the nonlinear constrained optimal control to a nonlinear programming one, to which existing algorithms may be applied. Illustrative examples are included to demonstrate the efficiency and applicability of the technique.
      PubDate: 2017-06-28T03:50:53.341915-05:
      DOI: 10.1002/asjc.1526
  • Almost Disturbance Decoupling for a Class of Nonlinear Systems Subject to
           Time-Delays Via Sampled-Data Output Feedback Control
    • Authors: Qinghua Meng; Pan Wang, Zong-Yao Sun, Chih-Chiang Chen
      Pages: 568 - 576
      Abstract: This paper considers the problem of almost disturbance decoupling (ADD) via sampled-data output feedback control for a class of uncertain nonlinear systems subject to time-delays. Based on output feedback domination approach, a sampled-data output feedback controller is designed to globally stabilize the system under a lower-triangular linear growth condition. Gronwall-Bellman-like inequality and inductive method are introduced to estimate the state growth in the presence of time-delays, uncertain nonlinearities and unknown disturbances. The proposed controller can attenuate the influence of disturbances on the output to an arbitrary degree in the L2 gain sense. Finally, simulation results show the effectiveness of the control method.
      PubDate: 2017-06-13T02:05:24.029798-05:
      DOI: 10.1002/asjc.1533
  • Bipartite Linear χ-Consensus of Double-Integrator Multi-Agent Systems
           With Measurement Noise
    • Authors: Cuiqin Ma; Weiwei Zhao, Yun-Bo Zhao
      Pages: 577 - 584
      Abstract: The bipartite consensus problem is investigated for double-integrator multi-agent systems in the presence of measurement noise. A distributed protocol with time-varying consensus gain is proposed. By using tools of state transition matrix and algebraic graph theory, necessary and sufficient conditions for the designed protocol to be a mean square bipartite linear χ-consensus protocol are given. It is shown that the signed digraph being structurally balanced and having a spanning tree are not only sufficient, but also necessary for bipartite consensus. Furthermore, the protocol is proved to be a mean square bipartite average consensus protocol if the signed graph is weight balanced.
      PubDate: 2017-05-25T04:30:46.264508-05:
      DOI: 10.1002/asjc.1546
  • A Condition for Boundedness of Solutions of Bidimensional Switched Affine
           Systems With Multiple Foci and Centers
    • Authors: Liying Zhu
      Pages: 585 - 594
      Abstract: This paper studies boundedness of solutions of bidimensional switched affine linear systems. Every subsystem of the systems has a single stable/ unstable focus/ center and all the equilibria pairwise differ. By using the multiple polar coordinate systems method, this paper proposes a condition of boundedness of solutions of such switched systems under periodic/ quasi-periodic switching paths. The condition is also shown a sufficient condition of global asymptotic region stability of such switched systems with respect to a region containing all multiple equilibria. A global asymptotic region-stabilizing control, a periodic/ quasi-periodic switching path, and a corresponding algorithm are all designed for such switched control systems. An illustrative example demonstrates the effectiveness and practicality of our new results.
      PubDate: 2017-06-09T08:50:55.752022-05:
      DOI: 10.1002/asjc.1535
  • A Note on all-Stabilizing Proportional Controllers for Single
           Input–Single Output Systems
    • Authors: İlker Üstoğlu; Halit Örenbaş, Yavuz Eren
      Pages: 595 - 598
      Abstract: This paper aims to present a practical technique for the synthesis of proportional controllers for continuous time control systems. This technique depends on the generalization of the Nyquist stability criterion and promises soft computing of the crossing direction of the diagram where the plot crosses the real axis on the complex plane.
      PubDate: 2017-07-05T09:26:05.22441-05:0
      DOI: 10.1002/asjc.1567
  • Global Practical Mittag Leffler Stabilization by Output Feedback for a
           Class Of Nonlinear Fractional-Order Systems
    • Authors: Omar Naifar; Abdellatif Ben Makhlouf, Mohamed Ali Hammami, Liping Chen
      Pages: 599 - 607
      Abstract: In this paper, the problem of a global practical Mittag Leffler feedback stabilization for a class of nonlinear fractional order systems by means of observer is described. The linear matrix inequality approach is used to guarantee the practical stability of the proposed feedback fractional order system. An illustrative example is given to show the applicability of the results.
      PubDate: 2017-07-11T04:37:21.539971-05:
      DOI: 10.1002/asjc.1576
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