for Journals by Title or ISSN
for Articles by Keywords
help

Publisher: Elsevier   (Total: 3185 journals)

 A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

        1 2 3 4 5 6 7 8 | Last   [Sort by number of followers]   [Restore default list]

Showing 1 - 200 of 3185 Journals sorted alphabetically
Academic Pediatrics     Hybrid Journal   (Followers: 37, SJR: 1.655, CiteScore: 2)
Academic Radiology     Hybrid Journal   (Followers: 25, SJR: 1.015, CiteScore: 2)
Accident Analysis & Prevention     Partially Free   (Followers: 100, SJR: 1.462, CiteScore: 3)
Accounting Forum     Hybrid Journal   (Followers: 28, SJR: 0.932, CiteScore: 2)
Accounting, Organizations and Society     Hybrid Journal   (Followers: 37, SJR: 1.771, CiteScore: 3)
Achievements in the Life Sciences     Open Access   (Followers: 5)
Acta Anaesthesiologica Taiwanica     Open Access   (Followers: 7)
Acta Astronautica     Hybrid Journal   (Followers: 427, SJR: 0.758, CiteScore: 2)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Biomaterialia     Hybrid Journal   (Followers: 28, SJR: 1.967, CiteScore: 7)
Acta Colombiana de Cuidado Intensivo     Full-text available via subscription   (Followers: 3)
Acta de Investigación Psicológica     Open Access   (Followers: 3)
Acta Ecologica Sinica     Open Access   (Followers: 10, SJR: 0.18, CiteScore: 1)
Acta Histochemica     Hybrid Journal   (Followers: 3, SJR: 0.661, CiteScore: 2)
Acta Materialia     Hybrid Journal   (Followers: 291, SJR: 3.263, CiteScore: 6)
Acta Mathematica Scientia     Full-text available via subscription   (Followers: 6, SJR: 0.504, CiteScore: 1)
Acta Mechanica Solida Sinica     Full-text available via subscription   (Followers: 9, SJR: 0.542, CiteScore: 1)
Acta Oecologica     Hybrid Journal   (Followers: 12, SJR: 0.834, CiteScore: 2)
Acta Otorrinolaringologica (English Edition)     Full-text available via subscription  
Acta Otorrinolaringológica Española     Full-text available via subscription   (Followers: 2, SJR: 0.307, CiteScore: 0)
Acta Pharmaceutica Sinica B     Open Access   (Followers: 1, SJR: 1.793, CiteScore: 6)
Acta Poética     Open Access   (Followers: 4, SJR: 0.101, CiteScore: 0)
Acta Psychologica     Hybrid Journal   (Followers: 27, SJR: 1.331, CiteScore: 2)
Acta Sociológica     Open Access   (Followers: 1)
Acta Tropica     Hybrid Journal   (Followers: 6, SJR: 1.052, CiteScore: 2)
Acta Urológica Portuguesa     Open Access  
Actas Dermo-Sifiliograficas     Full-text available via subscription   (Followers: 3, SJR: 0.374, CiteScore: 1)
Actas Dermo-Sifiliográficas (English Edition)     Full-text available via subscription   (Followers: 2)
Actas Urológicas Españolas     Full-text available via subscription   (Followers: 3, SJR: 0.344, CiteScore: 1)
Actas Urológicas Españolas (English Edition)     Full-text available via subscription   (Followers: 1)
Actualites Pharmaceutiques     Full-text available via subscription   (Followers: 7, SJR: 0.19, CiteScore: 0)
Actualites Pharmaceutiques Hospitalieres     Full-text available via subscription   (Followers: 3)
Acupuncture and Related Therapies     Hybrid Journal   (Followers: 8)
Acute Pain     Full-text available via subscription   (Followers: 15, SJR: 2.671, CiteScore: 5)
Ad Hoc Networks     Hybrid Journal   (Followers: 11, SJR: 0.53, CiteScore: 4)
Addictive Behaviors     Hybrid Journal   (Followers: 17, SJR: 1.29, CiteScore: 3)
Addictive Behaviors Reports     Open Access   (Followers: 9, SJR: 0.755, CiteScore: 2)
Additive Manufacturing     Hybrid Journal   (Followers: 11, SJR: 2.611, CiteScore: 8)
Additives for Polymers     Full-text available via subscription   (Followers: 23)
Advanced Drug Delivery Reviews     Hybrid Journal   (Followers: 179, SJR: 4.09, CiteScore: 13)
Advanced Engineering Informatics     Hybrid Journal   (Followers: 12, SJR: 1.167, CiteScore: 4)
Advanced Powder Technology     Hybrid Journal   (Followers: 17, SJR: 0.694, CiteScore: 3)
Advances in Accounting     Hybrid Journal   (Followers: 9, SJR: 0.277, CiteScore: 1)
Advances in Agronomy     Full-text available via subscription   (Followers: 16, SJR: 2.384, CiteScore: 5)
Advances in Anesthesia     Full-text available via subscription   (Followers: 28, SJR: 0.126, CiteScore: 0)
Advances in Antiviral Drug Design     Full-text available via subscription   (Followers: 2)
Advances in Applied Mathematics     Full-text available via subscription   (Followers: 11, SJR: 0.992, CiteScore: 1)
Advances in Applied Mechanics     Full-text available via subscription   (Followers: 11, SJR: 1.551, CiteScore: 4)
Advances in Applied Microbiology     Full-text available via subscription   (Followers: 24, SJR: 2.089, CiteScore: 5)
Advances In Atomic, Molecular, and Optical Physics     Full-text available via subscription   (Followers: 15, SJR: 0.572, CiteScore: 2)
Advances in Biological Regulation     Hybrid Journal   (Followers: 4, SJR: 2.61, CiteScore: 7)
Advances in Botanical Research     Full-text available via subscription   (Followers: 2, SJR: 0.686, CiteScore: 2)
Advances in Cancer Research     Full-text available via subscription   (Followers: 32, SJR: 3.043, CiteScore: 6)
Advances in Carbohydrate Chemistry and Biochemistry     Full-text available via subscription   (Followers: 9, SJR: 1.453, CiteScore: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5, SJR: 1.992, CiteScore: 5)
Advances in Cell Aging and Gerontology     Full-text available via subscription   (Followers: 5)
Advances in Cellular and Molecular Biology of Membranes and Organelles     Full-text available via subscription   (Followers: 14)
Advances in Chemical Engineering     Full-text available via subscription   (Followers: 28, SJR: 0.156, CiteScore: 1)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 10, SJR: 0.713, CiteScore: 1)
Advances in Chronic Kidney Disease     Full-text available via subscription   (Followers: 10, SJR: 1.316, CiteScore: 2)
Advances in Clinical Chemistry     Full-text available via subscription   (Followers: 26, SJR: 1.562, CiteScore: 3)
Advances in Colloid and Interface Science     Full-text available via subscription   (Followers: 20, SJR: 1.977, CiteScore: 8)
Advances in Computers     Full-text available via subscription   (Followers: 14, SJR: 0.205, CiteScore: 1)
Advances in Dermatology     Full-text available via subscription   (Followers: 15)
Advances in Developmental Biology     Full-text available via subscription   (Followers: 13)
Advances in Digestive Medicine     Open Access   (Followers: 11)
Advances in DNA Sequence-Specific Agents     Full-text available via subscription   (Followers: 7)
Advances in Drug Research     Full-text available via subscription   (Followers: 26)
Advances in Ecological Research     Full-text available via subscription   (Followers: 43, SJR: 2.524, CiteScore: 4)
Advances in Engineering Software     Hybrid Journal   (Followers: 29, SJR: 1.159, CiteScore: 4)
Advances in Experimental Biology     Full-text available via subscription   (Followers: 8)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 49, SJR: 5.39, CiteScore: 8)
Advances in Exploration Geophysics     Full-text available via subscription   (Followers: 1)
Advances in Fluorine Science     Full-text available via subscription   (Followers: 9)
Advances in Food and Nutrition Research     Full-text available via subscription   (Followers: 62, SJR: 0.591, CiteScore: 2)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 17)
Advances in Genetics     Full-text available via subscription   (Followers: 20, SJR: 1.354, CiteScore: 4)
Advances in Genome Biology     Full-text available via subscription   (Followers: 10, SJR: 12.74, CiteScore: 13)
Advances in Geophysics     Full-text available via subscription   (Followers: 6, SJR: 1.193, CiteScore: 3)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 24, SJR: 0.368, CiteScore: 1)
Advances in Heterocyclic Chemistry     Full-text available via subscription   (Followers: 12, SJR: 0.749, CiteScore: 3)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 23)
Advances in Imaging and Electron Physics     Full-text available via subscription   (Followers: 3, SJR: 0.193, CiteScore: 0)
Advances in Immunology     Full-text available via subscription   (Followers: 36, SJR: 4.433, CiteScore: 6)
Advances in Inorganic Chemistry     Full-text available via subscription   (Followers: 10, SJR: 1.163, CiteScore: 2)
Advances in Insect Physiology     Full-text available via subscription   (Followers: 2, SJR: 1.938, CiteScore: 3)
Advances in Integrative Medicine     Hybrid Journal   (Followers: 6, SJR: 0.176, CiteScore: 0)
Advances in Intl. Accounting     Full-text available via subscription   (Followers: 3)
Advances in Life Course Research     Hybrid Journal   (Followers: 8, SJR: 0.682, CiteScore: 2)
Advances in Lipobiology     Full-text available via subscription   (Followers: 1)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Marine Biology     Full-text available via subscription   (Followers: 19, SJR: 0.88, CiteScore: 2)
Advances in Mathematics     Full-text available via subscription   (Followers: 12, SJR: 3.027, CiteScore: 2)
Advances in Medical Sciences     Hybrid Journal   (Followers: 7, SJR: 0.694, CiteScore: 2)
Advances in Medicinal Chemistry     Full-text available via subscription   (Followers: 5)
Advances in Microbial Physiology     Full-text available via subscription   (Followers: 4, SJR: 1.158, CiteScore: 3)
Advances in Molecular and Cell Biology     Full-text available via subscription   (Followers: 23)
Advances in Molecular and Cellular Endocrinology     Full-text available via subscription   (Followers: 8)
Advances in Molecular Toxicology     Full-text available via subscription   (Followers: 7, SJR: 0.182, CiteScore: 0)
Advances in Nanoporous Materials     Full-text available via subscription   (Followers: 4)
Advances in Oncobiology     Full-text available via subscription   (Followers: 2)
Advances in Organ Biology     Full-text available via subscription   (Followers: 2)
Advances in Organometallic Chemistry     Full-text available via subscription   (Followers: 17, SJR: 1.875, CiteScore: 4)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7, SJR: 0.174, CiteScore: 0)
Advances in Parasitology     Full-text available via subscription   (Followers: 5, SJR: 1.579, CiteScore: 4)
Advances in Pediatrics     Full-text available via subscription   (Followers: 25, SJR: 0.461, CiteScore: 1)
Advances in Pharmaceutical Sciences     Full-text available via subscription   (Followers: 17)
Advances in Pharmacology     Full-text available via subscription   (Followers: 16, SJR: 1.536, CiteScore: 3)
Advances in Physical Organic Chemistry     Full-text available via subscription   (Followers: 8, SJR: 0.574, CiteScore: 1)
Advances in Phytomedicine     Full-text available via subscription  
Advances in Planar Lipid Bilayers and Liposomes     Full-text available via subscription   (Followers: 3, SJR: 0.109, CiteScore: 1)
Advances in Plant Biochemistry and Molecular Biology     Full-text available via subscription   (Followers: 10)
Advances in Plant Pathology     Full-text available via subscription   (Followers: 5)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Protein Chemistry     Full-text available via subscription   (Followers: 19)
Advances in Protein Chemistry and Structural Biology     Full-text available via subscription   (Followers: 20, SJR: 0.791, CiteScore: 2)
Advances in Psychology     Full-text available via subscription   (Followers: 66)
Advances in Quantum Chemistry     Full-text available via subscription   (Followers: 6, SJR: 0.371, CiteScore: 1)
Advances in Radiation Oncology     Open Access   (Followers: 1, SJR: 0.263, CiteScore: 1)
Advances in Small Animal Medicine and Surgery     Hybrid Journal   (Followers: 3, SJR: 0.101, CiteScore: 0)
Advances in Space Biology and Medicine     Full-text available via subscription   (Followers: 6)
Advances in Space Research     Full-text available via subscription   (Followers: 413, SJR: 0.569, CiteScore: 2)
Advances in Structural Biology     Full-text available via subscription   (Followers: 5)
Advances in Surgery     Full-text available via subscription   (Followers: 12, SJR: 0.555, CiteScore: 2)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 36, SJR: 2.208, CiteScore: 4)
Advances in Veterinary Medicine     Full-text available via subscription   (Followers: 20)
Advances in Veterinary Science and Comparative Medicine     Full-text available via subscription   (Followers: 15)
Advances in Virus Research     Full-text available via subscription   (Followers: 5, SJR: 2.262, CiteScore: 5)
Advances in Water Resources     Hybrid Journal   (Followers: 51, SJR: 1.551, CiteScore: 3)
Aeolian Research     Hybrid Journal   (Followers: 6, SJR: 1.117, CiteScore: 3)
Aerospace Science and Technology     Hybrid Journal   (Followers: 363, SJR: 0.796, CiteScore: 3)
AEU - Intl. J. of Electronics and Communications     Hybrid Journal   (Followers: 8, SJR: 0.42, CiteScore: 2)
African J. of Emergency Medicine     Open Access   (Followers: 6, SJR: 0.296, CiteScore: 0)
Ageing Research Reviews     Hybrid Journal   (Followers: 11, SJR: 3.671, CiteScore: 9)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 467, SJR: 1.238, CiteScore: 3)
Agri Gene     Hybrid Journal   (Followers: 1, SJR: 0.13, CiteScore: 0)
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 17, SJR: 1.818, CiteScore: 5)
Agricultural Systems     Hybrid Journal   (Followers: 31, SJR: 1.156, CiteScore: 4)
Agricultural Water Management     Hybrid Journal   (Followers: 44, SJR: 1.272, CiteScore: 3)
Agriculture and Agricultural Science Procedia     Open Access   (Followers: 4)
Agriculture and Natural Resources     Open Access   (Followers: 3)
Agriculture, Ecosystems & Environment     Hybrid Journal   (Followers: 57, SJR: 1.747, CiteScore: 4)
Ain Shams Engineering J.     Open Access   (Followers: 5, SJR: 0.589, CiteScore: 3)
Air Medical J.     Hybrid Journal   (Followers: 6, SJR: 0.26, CiteScore: 0)
AKCE Intl. J. of Graphs and Combinatorics     Open Access   (SJR: 0.19, CiteScore: 0)
Alcohol     Hybrid Journal   (Followers: 12, SJR: 1.153, CiteScore: 3)
Alcoholism and Drug Addiction     Open Access   (Followers: 11)
Alergologia Polska : Polish J. of Allergology     Full-text available via subscription   (Followers: 1)
Alexandria Engineering J.     Open Access   (Followers: 2, SJR: 0.604, CiteScore: 3)
Alexandria J. of Medicine     Open Access   (Followers: 1, SJR: 0.191, CiteScore: 1)
Algal Research     Partially Free   (Followers: 11, SJR: 1.142, CiteScore: 4)
Alkaloids: Chemical and Biological Perspectives     Full-text available via subscription   (Followers: 2)
Allergologia et Immunopathologia     Full-text available via subscription   (Followers: 1, SJR: 0.504, CiteScore: 1)
Allergology Intl.     Open Access   (Followers: 5, SJR: 1.148, CiteScore: 2)
Alpha Omegan     Full-text available via subscription   (SJR: 3.521, CiteScore: 6)
ALTER - European J. of Disability Research / Revue Européenne de Recherche sur le Handicap     Full-text available via subscription   (Followers: 10, SJR: 0.201, CiteScore: 1)
Alzheimer's & Dementia     Hybrid Journal   (Followers: 52, SJR: 4.66, CiteScore: 10)
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring     Open Access   (Followers: 4, SJR: 1.796, CiteScore: 4)
Alzheimer's & Dementia: Translational Research & Clinical Interventions     Open Access   (Followers: 4, SJR: 1.108, CiteScore: 3)
Ambulatory Pediatrics     Hybrid Journal   (Followers: 6)
American Heart J.     Hybrid Journal   (Followers: 57, SJR: 3.267, CiteScore: 4)
American J. of Cardiology     Hybrid Journal   (Followers: 62, SJR: 1.93, CiteScore: 3)
American J. of Emergency Medicine     Hybrid Journal   (Followers: 45, SJR: 0.604, CiteScore: 1)
American J. of Geriatric Pharmacotherapy     Full-text available via subscription   (Followers: 11)
American J. of Geriatric Psychiatry     Hybrid Journal   (Followers: 13, SJR: 1.524, CiteScore: 3)
American J. of Human Genetics     Hybrid Journal   (Followers: 34, SJR: 7.45, CiteScore: 8)
American J. of Infection Control     Hybrid Journal   (Followers: 29, SJR: 1.062, CiteScore: 2)
American J. of Kidney Diseases     Hybrid Journal   (Followers: 35, SJR: 2.973, CiteScore: 4)
American J. of Medicine     Hybrid Journal   (Followers: 48)
American J. of Medicine Supplements     Full-text available via subscription   (Followers: 3, SJR: 1.967, CiteScore: 2)
American J. of Obstetrics and Gynecology     Hybrid Journal   (Followers: 233, SJR: 2.7, CiteScore: 4)
American J. of Ophthalmology     Hybrid Journal   (Followers: 66, SJR: 3.184, CiteScore: 4)
American J. of Ophthalmology Case Reports     Open Access   (Followers: 5, SJR: 0.265, CiteScore: 0)
American J. of Orthodontics and Dentofacial Orthopedics     Full-text available via subscription   (Followers: 6, SJR: 1.289, CiteScore: 1)
American J. of Otolaryngology     Hybrid Journal   (Followers: 25, SJR: 0.59, CiteScore: 1)
American J. of Pathology     Hybrid Journal   (Followers: 30, SJR: 2.139, CiteScore: 4)
American J. of Preventive Medicine     Hybrid Journal   (Followers: 28, SJR: 2.164, CiteScore: 4)
American J. of Surgery     Hybrid Journal   (Followers: 39, SJR: 1.141, CiteScore: 2)
American J. of the Medical Sciences     Hybrid Journal   (Followers: 12, SJR: 0.767, CiteScore: 1)
Ampersand : An Intl. J. of General and Applied Linguistics     Open Access   (Followers: 7)
Anaerobe     Hybrid Journal   (Followers: 4, SJR: 1.144, CiteScore: 3)
Anaesthesia & Intensive Care Medicine     Full-text available via subscription   (Followers: 63, SJR: 0.138, CiteScore: 0)
Anaesthesia Critical Care & Pain Medicine     Full-text available via subscription   (Followers: 20, SJR: 0.411, CiteScore: 1)
Anales de Cirugia Vascular     Full-text available via subscription   (Followers: 1)
Anales de Pediatría     Full-text available via subscription   (Followers: 3, SJR: 0.277, CiteScore: 0)
Anales de Pediatría (English Edition)     Full-text available via subscription  
Anales de Pediatría Continuada     Full-text available via subscription  
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 5, SJR: 4.849, CiteScore: 10)
Analytica Chimica Acta     Hybrid Journal   (Followers: 44, SJR: 1.512, CiteScore: 5)
Analytica Chimica Acta : X     Open Access  
Analytical Biochemistry     Hybrid Journal   (Followers: 199, SJR: 0.633, CiteScore: 2)
Analytical Chemistry Research     Open Access   (Followers: 12, SJR: 0.411, CiteScore: 2)
Analytical Spectroscopy Library     Full-text available via subscription   (Followers: 14)
Anesthésie & Réanimation     Full-text available via subscription   (Followers: 2)
Anesthesiology Clinics     Full-text available via subscription   (Followers: 23, SJR: 0.683, CiteScore: 2)
Angiología     Full-text available via subscription   (SJR: 0.121, CiteScore: 0)
Angiologia e Cirurgia Vascular     Open Access   (Followers: 1, SJR: 0.111, CiteScore: 0)
Animal Behaviour     Hybrid Journal   (Followers: 206, SJR: 1.58, CiteScore: 3)
Animal Feed Science and Technology     Hybrid Journal   (Followers: 6, SJR: 0.937, CiteScore: 2)
Animal Reproduction Science     Hybrid Journal   (Followers: 7, SJR: 0.704, CiteScore: 2)

        1 2 3 4 5 6 7 8 | Last   [Sort by number of followers]   [Restore default list]

Similar Journals
Journal Cover
Acta Automatica Sinica
Number of Followers: 2  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 1874-1029
Published by Elsevier Homepage  [3185 journals]
  • Line Matching Across Views Based on Multiple View Stereo
    • Authors: Kang-Ping FU; Shu-Han SHEN; Zhan-Yi HU
      Pages: 1680 - 1689
      Abstract: Publication date: August 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 8
      Author(s): Kang-Ping FU , Shu-Han SHEN , Zhan-Yi HU
      A graph-based multiple view line matching method is proposed based on results of multiple view stereo (MVS) algorithms. With the 3D points and their visibility information provided by MVS, point-line correspondences are firstly established through 3D-to-2D re-projection. Each image line detected in different views is described using a 3D point set as well as a unit vector representing its coarse 3D direction. From such a description, pairwise similarity and consistency are evaluated. Then, a graph is constructed to contain all image lines as nodes. To get a unified node distance measure, a spectral graph analysis method is employed. Finally, a modified DBSCAN algorithm is introduced to obtain reliable line matches from the graph. Experiments show that our method is more robust and exhibits better accuracy than the existing methods.

      PubDate: 2014-09-22T13:10:47Z
      DOI: 10.1016/s1874-1029(14)60017-3
       
  • Online Learning a Binary Classifier for Improving Google Image Search
           Results
    • Authors: Yu-Chai WAN; Xia-Bi LIU; Fei-Fei HAN; Kun-Qi TONG; Yu LIU
      Pages: 1699 - 1708
      Abstract: Publication date: August 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 8
      Author(s): Yu-Chai WAN , Xia-Bi LIU , Fei-Fei HAN , Kun-Qi TONG , Yu LIU
      It is promising to improve web image search results through exploiting the results' visual contents for learning a binary classifier which is used to refine the results' relevance degrees to the given query. This paper proposes an algorithm framework as a solution to this problem and investigates the key issue of training data selection under the framework. The training data selection process is divided into two stages: initial selection for triggering the classifier learning and dynamic selection in the iterations of classifier learning. We investigate two main ways of initial training data selection, including clustering based and ranking based, and compare automatic training data selection schemes with manual manner. Furthermore, support vector machines and the max-min pseudo-probability (MMP) based Bayesian classifier are employed to support image classification, respectively. By varying these factors in the framework, we implement eight algorithms and tested them on keyword based image search results from Google search engine. The experimental results confirm that how to select the training data from noisy search results is really a key issue in the problem considered in this paper and show that the proposed algorithm is effective to improve Google search results, especially at top ranks, thus is helpful to reduce the user labor in finding the desired images by browsing the ranking in depth. Even so, it is still worth meditative to make automatic training data selection scheme better towards perfect human annotation.

      PubDate: 2014-09-22T13:10:47Z
      DOI: 10.1016/s1874-1029(14)60018-5
       
  • Box-constrained Total-variation Image Restoration with Automatic Parameter
           Estimation
    • Authors: Chuan HE; Chang-Hua HU; Wei ZHANG; Biao SHI
      Pages: 1804 - 1811
      Abstract: Publication date: August 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 8
      Author(s): Chuan HE , Chang-Hua HU , Wei ZHANG , Biao SHI
      The box constraints in image restoration have been arousing great attention, since the pixels of a digital image can attain only a finite number of values in a given dynamic range. This paper studies the box-constrained total-variation (TV) image restoration problem with automatic regularization parameter estimation. By adopting the variable splitting technique and introducing some auxiliary variables, the box-constrained TV minimization problem is decomposed into a sequence of subproblems which are easier to solve. Then the alternating direction method (ADM) is adopted to solve the related subproblems. By means of Morozov's discrepancy principle, the regularization parameter can be updated adaptively in a closed form in each iteration. Image restoration experiments indicate that with our strategies, more accurate solutions are achieved, especially for image with high percentage of pixel values lying on the boundary of the given dynamic range.

      PubDate: 2014-09-22T13:10:47Z
      DOI: 10.1016/s1874-1029(14)60019-7
       
  • Statistical χ2 Testing Based Fault Detection for Linear Discrete
           Time-delay Systems
    • Authors: Bo-Ang LIU; Hao YE
      Pages: 1278 - 1284
      Abstract: Publication date: July 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 7
      Author(s): Bo-Ang LIU , Hao YE
      This paper is concerned with statistical χ2 testing based fault detection (FD) for a class of linear discrete time-varying (LDTV) stochastic systems with delayed state. Different from the traditional residual based FD, we propose to construct the evaluation function by directly using measurement observations. Then an equivalent solution can be given in terms of Riccati recursion by utilizing projection and innovation analysis technique. Moreover, the fault free case evaluation function is with central χ2 distribution and the heavy computational burden is reduced. Furthermore, strategies of χ2 statistic testing on evaluation function are also discussed. Finally, a numerical example is given to illustrate the proposed method.

      PubDate: 2014-08-03T19:13:16Z
      DOI: 10.1016/s1874-1029(14)60013-6
       
  • Online Minimum-acceleration Trajectory Planning with the Kinematic
           Constraints
    • Authors: Ying-Shi WANG; Lei SUN; Lu ZHOU; Jing-Tai LIU
      Pages: 1328 - 1338
      Abstract: Publication date: July 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 7
      Author(s): Ying-Shi WANG , Lei SUN , Lu ZHOU , Jing-Tai LIU
      A novel approach based on a type of simplified motion planning (SMP) is presented in this paper to generate online trajectory for manipulator systems with multiple degrees of freedom (DOFs). The key issue is to find minimum-acceleration trajectory planning (MATP) to optimize the arm motion to reduce disturbance. Moreover, necessary and sufficient conditions for solution's existence subject to all the kinematic constraints of joint position, velocity, acceleration and jerk are devised. Besides, this new method can be activated online from the arbitrary initial state to the arbitrary target state so that it enables the robot to change the original path at any time. Finally, the approach is applied to a real humanoid robot arm with seven DOFs to show its efficiency.

      PubDate: 2014-08-03T19:13:16Z
      DOI: 10.1016/s1874-1029(14)60014-8
       
  • A Particle Swarm Optimization Algorithm with Variable Random Functions and
           Mutation
    • Authors: Xiao-Jun ZHOU; Chun-Hua YANG; Wei-Hua GUI; Tian-Xue DONG
      Pages: 1339 - 1347
      Abstract: Publication date: July 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 7
      Author(s): Xiao-Jun ZHOU , Chun-Hua YANG , Wei-Hua GUI , Tian-Xue DONG
      The convergence analysis of the standard particle swarm optimization (PSO) has shown that the changing of random functions, personal best and group best has the potential to improve the performance of the PSO. In this paper, a novel strategy with variable random functions and polynomial mutation is introduced into the PSO, which is called particle swarm optimization algorithm with variable random functions and mutation (PSO-RM). Random functions are adjusted with the density of the population so as to manipulate the weight of cognition part and social part. Mutation is executed on both personal best particle and group best particle to explore new areas. Experiment results have demonstrated the effectiveness of the strategy.

      PubDate: 2014-08-03T19:13:16Z
      DOI: 10.1016/s1874-1029(14)60015-x
       
  • Explicit G2-constrained Merging of a Pair of Bézier Curves by Control
           Point Optimization
    • Authors: Li-Zheng LU; Yu-Yang QIU
      Pages: 1505 - 1509
      Abstract: Publication date: July 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 7
      Author(s): Li-Zheng LU , Yu-Yang QIU
      This paper presents a simple and explicit method for G 2-constrained merging of a pair of Bézier curves by minimizing the l 2 distance defined in terms of control points. After expressing the l 2 distance as a quadratic function of two parameters, the optimally merged curve can be explicitly obtained, which is achieved by control point optimization such that the l 2 distance is minimized. The existence of the unique solution is shown by proving that the l 2 distance is convex. The proposed method is explicit and efficient since it is non-iterative and expressed by known control points. Numerical examples demonstrate the effectiveness of the new method.

      PubDate: 2014-08-03T19:13:16Z
      DOI: 10.1016/s1874-1029(14)60016-1
       
  • A Global Image Feature Construction Method Based on Local Jet Structure
    • Authors: Jin XIE; Zi-Xing CAI
      Pages: 1148 - 1155
      Abstract: Publication date: June 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 6
      Author(s): Jin XIE , Zi-Xing CAI
      This article presents a novel and robust feature descriptor called the multi-scale autoconvolution on local jet structure (MSALJS), which is quasi-invariant to affine transformation. The MSALJS, a global image feature descriptor, is based on the derivatives that describe the image local structure to compute the multi-scale autoconvolution moment. Experimental data demonstrate that the MSALJS can be used in practical applications in which the object is deformed in various ways, such as particular occlusion, view angle change, and so on.

      PubDate: 2014-07-24T13:12:59Z
      DOI: 10.1016/s1874-1029(14)60012-4
       
  • A New Lyapunov Based Robust Control for Uncertain Mechanical Systems
    • Authors: Sheng-Chao ZHEN; Han ZHAO; Ye-Hwa CHEN; Kang HUANG
      Pages: 875 - 882
      Abstract: Publication date: May 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 5
      Author(s): Sheng-Chao ZHEN , Han ZHAO , Ye-Hwa CHEN , Kang HUANG
      We design a new robust controller for uncertain mechanical systems. The inertia matrix's singularity and upper bound property are first analyzed. It is shown that the inertia matrix may be positive semi-definite due to over-simplified model. Further-more, the inertia matrix's being uniformly bounded above is also limited. A robust controller is proposed to suppress the effect of uncertainty in mechanical systems with the assumption of uniform positive definiteness and upper bound of the inertia matrix. We theoretically prove that the robust control renders uniform boundedness and uniform ultimate boundedness. The size of the ultimate boundedness ball can be made arbitrarily small by the designer. Simulation results are presented and discussed.

      PubDate: 2014-07-24T13:12:59Z
      DOI: 10.1016/s1874-1029(14)60009-4
       
  • Optimum Design of Fractional Order PID Controller for an AVR System Using
           an Improved Artificial Bee Colony Algorithm
    • Authors: Dong-Li ZHANG; Ying-Gan TANG; Xin-Ping GUAN
      Pages: 973 - 979
      Abstract: Publication date: May 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 5
      Author(s): Dong-Li ZHANG , Ying-Gan TANG , Xin-Ping GUAN
      Fractional order proportional-integral-derivative (FOPID) controller generalizes the standard PID controller. Compared to PID controller, FOPID controller has more parameters and the tuning of parameters is more complex. In this paper, an improved artificial bee colony algorithm, which combines cyclic exchange neighborhood with chaos (CNC-ABC), is proposed for the sake of tuning the parameters of FOPID controller. The characteristic of the proposed CNC-ABC exists in two folds: one is that it enlarges the search scope of the solution by utilizing cyclic exchange neighborhood techniques, speeds up the convergence of artificial bee colony algorithm (ABC). The other is that it has potential to get out of local optima by exploiting the ergodicity of chaos. The proposed CNC-ABC algorithm is used to optimize the parameters of the FOPID controller for an automatic voltage regulator (AVR) system. Numerical simulations show that the CNC-ABC FOPID controller has better performance than other FOPID and PID controllers.

      PubDate: 2014-07-24T13:12:59Z
      DOI: 10.1016/s1874-1029(14)60010-0
       
  • Convergence Analysis of ARD Algorithm
    • Authors: Guang-Hui CHENG
      Pages: 980 - 982
      Abstract: Publication date: May 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 5
      Author(s): Guang-Hui CHENG
      A convergence analysis of the altering row diagonalization (ARD) algorithm is made in this paper. Based on the convergence analysis, we present some advice on how to choose the initial matrix, and give a new terminal condition of the algorithm. For cross validating our analysis, three examples are also given.

      PubDate: 2014-07-24T13:12:59Z
      DOI: 10.1016/s1874-1029(14)60011-2
       
  • Multi-scale Graph-matching Based Kernel for Character Recognition from
           Natural Scenes
    • Authors: Cun-Zhao SHI; Chun-Heng WANG; Bai-Hua XIAO; Yang ZHANG; Song GAO
      Pages: 751 - 756
      Abstract: Publication date: April 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 4
      Author(s): Cun-Zhao SHI , Chun-Heng WANG , Bai-Hua XIAO , Yang ZHANG , Song GAO
      Recognizing characters extracted from natural scene images is quite challenging due to the high degree of intraclass variation. In this paper, we propose a multi-scale graph-matching based kernel for scene character recognition. In order to capture the inherently distinctive structures of characters, each image is represented by several graphs associated with multi-scale image grids. The similarity between two images is thus defined as the optimum energy by matching two graphs (images), which finds the best match for each node in the graph while also preserving the spatial consistency across adjacent nodes. The computed similarity is suitable to construct a kernel for support vector machine (SVM). Multiple kernels acquired by matching graphs with multi-scale grids are combined so that the final kernel is more robust. Experimental results on challenging Chars74k and ICDAR03-CH datasets show that the proposed method performs better than the state of the art methods.

      PubDate: 2014-07-24T13:12:59Z
      DOI: 10.1016/s1874-1029(14)60006-9
       
  • Fast Algorithm for Nonsubsampled Contourlet Transform
    • Authors: Chun-Man YAN; Bao-Long GUO; Meng YI
      Pages: 757 - 762
      Abstract: Publication date: April 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 4
      Author(s): Chun-Man YAN , Bao-Long GUO , Meng YI
      The multiscale geometric analysis (MGA) has been recognized as an effective strategy for image processing. As one of the discrete tools of MGA, the nonsubsampled contourlet transform (NSCT) has been widely used for image denoising, image fusion, image enhancement, feature extraction and so on. However, the processing performance is limited due to its high redundancy, and leading to an intensive computational efficiency. Therefore, its fast algorithm is desired in practice. In this paper, we adopt an optimized directional filter bank (DFB) and embed it into the NSCT to significantly accelerate the computational speed while keeping slight loss of the reconstructed performance. Experimental results show that the reconstructed image quality can satisfy the human visual system. Moreover, the improved NSCT has a speed about several times than that of the traditional one. Experimental results on image denoising also validate the feasibility and efficiency of the proposed method.

      PubDate: 2014-07-24T13:12:59Z
      DOI: 10.1016/s1874-1029(14)60007-0
       
  • Data Driven Hierarchical Serial Scene Classification Framework
    • Authors: Wen-Gang FENG
      Pages: 763 - 770
      Abstract: Publication date: April 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 4
      Author(s): Wen-Gang FENG
      Scene classification is a complicated task, because it includes much content and it is difficult to capture its distribution. A novel hierarchical serial scene classification framework is presented in this paper. At first, we use hierarchical feature to present both the global scene and local patches containing specific objects. Hierarchy is presented by space pyramid match, and our own codebook is built by two different types of words. Secondly, we train the visual words by generative and discriminative methods respectively based on space pyramid match, which could obtain the local patch labels efficiently. Then, we use a neural network to simulate the human decision process, which leads to the final scene category from local labels. Experiments show that the hierarchical serial scene image representation and classification model obtains superior results with respect to accuracy.

      PubDate: 2014-07-24T13:12:59Z
      DOI: 10.1016/s1874-1029(14)60008-2
       
  • Protocol Design for Output Consensus of Port-controlled Hamiltonian
           Multi-agent Systems
    • Authors: Chang-Sheng LI; Yu-Zhen WANG
      Pages: 415 - 422
      Abstract: Publication date: March 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 3
      Author(s): Chang-Sheng LI , Yu-Zhen WANG
      This paper investigates the output consensus problem of port-controlled Hamiltonian (PCH) multi-agent systems with both Fixed and switching topologies. Firstly, a distributed group output consensus protocol is designed via the energy shaping method to reach globally stability and group output consensus. Secondly, a new distributed control protocol is proposed by using the structural properties of the PCH systems. The advantage of this protocol is that it can transform the directed graph to the undirected graph by constructing a kind of virtual neighbors. Thirdly, a control protocol is designed with the extended LaSalle0s invariance principle developed for switched systems under the jointly connected topology condition to make all the agents reach output consensus when the topology is switching. Finally, some illustrative examples with simulations are provided to demonstrate the effectiveness of the protocols designed in this paper.

      PubDate: 2014-04-28T17:19:04Z
      DOI: 10.1016/s1874-1029(14)60004-5
       
  • Online Contribution Rate Based Fault Diagnosis for Nonlinear Industrial
           Processes
    • Authors: Kai-Xiang PENG; Kai ZHANG; Gang LI
      Pages: 423 - 430
      Abstract: Publication date: March 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 3
      Author(s): Kai-Xiang PENG , Kai ZHANG , Gang LI
      Over past decades, kernel principal component analysis (KPCA) appeared quite popularly in data-driven process monitoring area. Enormous work has been done to show its simplicity, feasibility, and effectiveness. However, the introduction of kernel trick makes it impossible to directly employ traditional contribution plots for fault diagnosis. In this paper, on the basis of revisiting and analyzing the existing KPCA-relevant diagnosis approaches, a new contribution rate based method is proposed which can explain the faulty variables clearly. Furthermore, a scheme for online nonlinear diagnosis is established. In the end, a case study on continuous stirred tank reactor (CSTR) benchmark is applied to access the effectiveness of the new methodology, where the comparisons with the traditional linear method are involved as well.

      PubDate: 2014-04-28T17:19:04Z
      DOI: 10.1016/s1874-1029(14)60005-7
       
  • A Direct Swing Constraint-based Trajectory Planning Method for
           Underactuated Overhead Cranes
    • Authors: Peng-Cheng WANG; Yong-Chun FANG; Zi-Ya JIANG
      Pages: 2414 - 2419
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Peng-Cheng WANG , Yong-Chun FANG , Zi-Ya JIANG
      This paper proposes a novel swing constraint-based trajectory planning method for nonlinear overhead crane systems. To enhance the efficiency and security of the transportation process, some desired trajectories are designed to achieve the following merits: 1) leading the trolley to reach the destination sufficiently fast; 2) keeping the payload swing in an acceptable domain; 3) eliminating the residue swing when the trolley stops at the desired position. Specifically, the trajectories are divided into three stages. For each stage, the desired curve of the swing angle is directly constructed in accordance with anti-swing and zero-residual swing requirements, based on which the trolley trajectory is then obtained by analyzing the nonlinear kinematics of the crane system. An optimization mechanism is introduced to make intelligent compromises among the indices of transportation time, maximal swing angle, and so on. Both simulation and experimental results are provided to demonstrate the performance of the proposed direct swing constraint-based trajectory planning method.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60397-9
       
  • Iterative Dynamic Diversity Evolutionary Algorithm for Constrained
           Optimization
    • Authors: Wei-Shang GAO; Cheng SHAO
      Pages: 2469 - 2479
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Wei-Shang GAO , Cheng SHAO
      Evolutionary algorithms (EAs) were shown to be effective for complex constrained optimization problems. However, inflexible exploration in general EAs would lead to losing the global optimum nearby the ill-convergence regions. In this paper, we propose an iterative dynamic diversity evolutionary algorithm (IDDEA) with contractive subregions guiding exploitation through local extrema to the global optimum in suitable steps. In IDDEA, a novel optimum estimation strategy with multi-agents evolving diversely is suggested to efficiently compute dominance trend and establish a subregion. In addition, a subregion converging iteration is designed to redistrict a smaller subregion in current subregion for next iteration, which is based on a special dominance estimation scheme. Meanwhile, an infimum penalty function is embedded into IDDEA to judge agents and penalize adaptively the unfeasible agents with the lowest fitness of feasible agents. Furthermore, several engineering design optimization problems taken from the specialized literature are successfully solved by the present algorithm with high reliable solutions.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60398-0
       
  • Adaptive Synchronization of Networked Euler-Lagrange Systems with Directed
           Switching Topology
    • Authors: Hai-Bo GUO; Hua-Yi LI; Wei-Chao ZHONG; Shi-Jie ZHANG; Xi-Bin CAO
      Pages: 2541 - 2548
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Hai-Bo GUO , Hua-Yi LI , Wei-Chao ZHONG , Shi-Jie ZHANG , Xi-Bin CAO
      In this paper, the cooperative control problem of networked Euler-Lagrange systems with parametric uncertainties and unidirectional interaction is addressed under dynamically changing topology. As the communication graph evolves over time, a distributed control law via local effective interactions is designed. Adaptive techniques are used to deal with parametric uncertainties in the dynamics. With a continuous Lyapunov function, it is obtained that synchronization can still be achieved asymptotically as long as the union graph of the switching topologies has a directed spanning tree frequently enough. Extensions to disturbance rejection problems are also addressed using simple disturbance-observer or sliding mode control scheme. Illustrative examples with comparing simulation in the context of attitude synchronization of five non-identical spacecraft are further presented to show the effectiveness of the proposed cooperative control strategy.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60399-2
       
  • Sampled-data Consensus of Multi-agent Systems with General Linear Dynamics
           Based on a Continuous-time Model
    • Authors: Xie-Yan ZHANG; Jing ZHANG
      Pages: 2549 - 2555
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Xie-Yan ZHANG , Jing ZHANG
      This paper discusses the sampled-data consensus problem of multi-agent systems with general linear dynamics and time-varying sampling intervals. To investigate the allowable upper bound of sampling intervals, we employ the property of discretization of sampled-data to identify the upper bound on the variable sampling intervals via a continuous-time model. Without considering the states in the sampling intervals, the decrease of Lyapunov function is guaranteed only at each sampling time. Consequently, it results in a more robust sampling interval which is obtained by verifying the feasibility of LMIs. Subsequently, provided a limited matrix variable, the control gain matrix K is solved by the LMI approach. Numerical simulations are provided to demonstrate the effectiveness of theoretical results.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60400-6
       
  • Robust Delay-dependent H∞ Consensus Control for Multi-agent Systems
           with Input Delays
    • Authors: Zhen-Xing LI; Hai-Bo JI
      Pages: 2556 - 2562
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Zhen-Xing LI , Hai-Bo JI
      This paper investigates the consensus control for multi-agent systems subject to external disturbances, input delays and model uncertainties of networks. By defining an appropriate controlled output, we transform this question into a robust H ∞ control problem. Then, we give two criteria to judge the consensusability of closed-loop multi-agent systems and present a cone-complementary linearization algorithm to get the state feedback controller's parameters. Finally, numerical examples are given to show the effectiveness of the proposed consensus protocols.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60401-8
       
  • Cooperative Tracking Control for Networked Lagrange Systems: Algorithms
           and Experiments
    • Authors: Gang CHEN; Yuan-Long YUE; Qing LIN
      Pages: 2563 - 2572
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Gang CHEN , Yuan-Long YUE , Qing LIN
      This paper considers the coordinated tracking problem for a group of Lagrange systems in the presence of parametric uncertainties. Distributed adaptive controllers are proposed with the aid of Lyapunov techniques. Compared with the previous work in the context of networked Lagrange systems control, the results in this paper are suitable for the general digraph communication topologies. Under the condition that the desired trajectory is only available to a portion of Lagrange systems, we discuss the cooperative tracking problem with general digraph communication topology, which contains a spanning tree with the root node being the active target system. Under the case where the neighbor's velocity is unavailable, a distributed filter is introduced to overcome this deficiency. Experimental results on networked robot-arms are provided to show the effectiveness of the proposed control algorithms.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60402-x
       
  • Partial Stability Approach to Consensus Problem of Linear Multi-agent
           Systems
    • Authors: Yang-Zhou CHEN; Yan-Rong GE; Ya-Xiao ZHANG
      Pages: 2573 - 2584
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Yang-Zhou CHEN , Yan-Rong GE , Ya-Xiao ZHANG
      A linear transformation is proposed to deal with the consensus problem of high-order linear multi-agent systems (LMASs). In virtue of the linear transformation, the consensus problem is equivalently translated into a partial stability problem. We discuss three issues of the LMASs under a generalized linear protocol: 1) to find criteria of consensus convergence; 2) to calculate consensus function; 3) to design gain matrices in the linear consensus protocol. Precisely, we provide a necessary and sufficient criterion of consensus convergence in terms of Hurwitz stability of a matrix and give an analytical expression of the consensus function. In addition, we set up a relation between the gain matrices in the protocol and the convergence time and consensus accuracy of the agents, and then design the gain matrices with respect to a pre-specified convergence time and a required consensus accuracy.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60403-1
       
  • Two-level Robust Measurement Fusion Kalman Filter for Clustering Sensor
           Networks
    • Authors: Peng ZHANG; Wen-Juan QI; Zi-Li DENG
      Pages: 2585 - 2594
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Peng ZHANG , Wen-Juan QI , Zi-Li DENG
      This paper investigates the distributed fusion Kalman filtering over clustering sensor networks. The sensor network is partitioned as clusters by the nearest neighbor rule and each cluster consists of sensing nodes and cluster-head. Using the minimax robust estimation principle, based on the worst-case conservative system with the conservative upper bounds of noise variances, two-level robust measurement fusion Kalman filter is presented for the clustering sensor network systems with uncertain noise variances. It can significantly reduce the communication load and save energy when the number of sensors is very large. A Lyapunov equation approach for the robustness analysis is presented, by which the robustness of the local and fused Kalman filters is proved. The concept of the robust accuracy is presented, and the robust accuracy relations among the local and fused robust Kalman filters are proved. It is proved that the robust accuracy of the two-level weighted measurement fuser is equal to that of the global centralized robust fuser and is higher than those of each local robust filter and each local weighted measurement fuser. A simulation example shows the correctness and effectiveness of the proposed results.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60404-3
       
  • Cooperative Iterative Learning Control of Linear Multi-agent Systems with
           a Dynamic Leader under Directed Topologies
    • Authors: Zhou-Hua PENG; Dan WANG; Hao WANG; Wei WANG
      Pages: 2595 - 2601
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Zhou-Hua PENG , Dan WANG , Hao WANG , Wei WANG
      This paper considers the cooperative tracking of linear multi-agent systems with a dynamic leader whose input information is unavailable to any followers. Cooperative iterative learning controllers, based on the relative state information of neighboring agents, are proposed for tracking the dynamic leader over directed communication topologies. Stability and convergence of the proposed controllers are established using Lyapunov-Krasovskii functionals. Furthermore, this result is extended to the output feedback case where only the output information of each agent can be obtained. A local observer is constructed to estimate the unmeasurable states. Then, cooperative iterative learning controllers, based on the relative observed states of neighboring agents, are devised. For both cases, it is shown that the multi-agent systems whose communication topologies contain a spanning tree can reach synchronization with the dynamic leader, and meanwhile identify the unknown input of the dynamic leader using distributed iterative learning laws. An illustrative example is provided to verify the proposed control schemes.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60405-5
       
  • Average Consensus in Directed Networks of Multi-agents with Uncertain
           Time-varying Delays
    • Authors: Zhao-Xia WANG; Da-Jun DU; Min-Rui FEI
      Pages: 2602 - 2608
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Zhao-Xia WANG , Da-Jun DU , Min-Rui FEI
      This paper investigates the average consensus problem in directed networks of multi-agent systems with uncertain time-varying delays. Fixed and switching topologies that are kept weakly connected and balanced are firstly analyzed. The original system is then transformed into a reduced dimension model. Based on Jensen's inequality and reciprocally convex approach, sufficient conditions for average consensus are further presented. Specially, a less conservative upper bound of time-varying communication delays is derived in comparison with the existing results. Numerical examples confirm the effectiveness of the proposed method.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60406-7
       
  • Average Dwell-time Conditions for Consensus of Discrete-time Linear
           Multi-agent Systems with Switching Topologies and Time-varying Delays
    • Authors: Yan-Rong GE; Yang-Zhou CHEN; Ya-Xiao ZHANG
      Pages: 2609 - 2617
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Yan-Rong GE , Yang-Zhou CHEN , Ya-Xiao ZHANG
      This paper investigates the consensus problem of discrete-time linear multi-agent systems (DLMASs) with directed switching information topologies and time-varying delays. First, we transform the consensus problem to an asymptotic stability problem of a corresponding time-delayed switched linear system (TDSLS) via a proper linear transformation. Then by using a constructed Lyapunov functional and the average dwell-time scheme, we establish a novel delay-dependent sufficient condition for the solvability of the consensus problem in terms of linear matrix inequalities (LMIs) for two cases, respectively: 1) all of the given information topologies are consensusable; 2) some of the given information topologies are consensusable. Finally, numerical examples are given to show the validness of the established results.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60407-9
       
  • Finite-time Consensus of Heterogeneous Multi-agent Systems with Linear and
           Nonlinear Dynamics
    • Authors: Ya-Kun ZHU; Xin-Ping GUAN; Xiao-Yuan LUO
      Pages: 2618 - 2624
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Ya-Kun ZHU , Xin-Ping GUAN , Xiao-Yuan LUO
      In this paper, the finite-time consensus problems of heterogeneous multi-agent systems composed of both linear and nonlinear dynamics agents are investigated. Nonlinear consensus protocols are proposed for the heterogeneous multi-agent systems. Some sufficient conditions for the finite-time consensus are established in the leaderless and leader-following cases. The results are also extended to the case where the communication topology is directed and satisfies a detailed balance condition on coupling weights. At last, some simulation results are given to illustrate the effectiveness of the obtained theoretical results.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60408-0
       
  • Distributed Model Predictive Control Based on Multi-agent Model for
           Electric Multiple Units
    • Authors: Zhong-Qi LI; Hui YANG; Kun-Peng ZHANG; Ya-Ting FU
      Pages: 2625 - 2631
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Zhong-Qi LI , Hui YANG , Kun-Peng ZHANG , Ya-Ting FU
      The distributed-power electric multiple units (EMUs) are widely used in high-speed railway. Due to the structural characteristic of mutual-coupled power units in EMUs, each power unit is set as an agent. Combining with the traction/brake characteristic curve and running data of EMUs, a subtractive clustering method and pattern classification algorithm are adopted to set up a multi-model set for every agent. Then, the multi-agent model is established according to the multi-agent network topology and mutual-coupled constraint relations. Finally, we adopt a smooth start switching control strategy and a multi-agent distributed coordination control algorithm to ensure the synchronous speed tracking control of each agent. Simulation results on the actual CRH380A running data show the effectiveness of the proposed approach.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60409-2
       
  • Robust Sequential Covariance Intersection Fusion Kalman Filtering over
           Multi-agent Sensor Networks with Measurement Delays and Uncertain Noise
           Variances
    • Authors: Wen-Juan QI; Peng ZHANG; Zi-Li DENG
      Pages: 2632 - 2642
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Wen-Juan QI , Peng ZHANG , Zi-Li DENG
      This paper deals with the problem of designing robust sequential covariance intersection (SCI) fusion Kalman filter for the clustering multi-agent sensor network system with measurement delays and uncertain noise variances. The sensor network is partitioned into clusters by the nearest neighbor rule. Using the minimax robust estimation principle, based on the worst-case conservative sensor network system with conservative upper bounds of noise variances, and applying the unbiased linear minimum variance (ULMV) optimal estimation rule, we present the two-layer SCI fusion robust steady-state Kalman filter which can reduce communication and computation burdens and save energy sources, and guarantee that the actual filtering error variances have a less-conservative upper-bound. A Lyapunov equation method for robustness analysis is proposed, by which the robustness of the local and fused Kalman filters is proved. The concept of the robust accuracy is presented and the robust accuracy relations of the local and fused robust Kalman filters are proved. It is proved that the robust accuracy of the global SCI fuser is higher than those of the local SCI fusers and the robust accuracies of all SCI fusers are higher than that of each local robust Kalman filter. A simulation example for a tracking system verifies the robustness and robust accuracy relations.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60410-9
       
  • Nonlinear Control for a Model-scaled Helicopter with Constraints on Rotor
           Thrust and Fuselage Attitude
    • Authors: Bing ZHU; Wei HUO
      Pages: 2654 - 2664
      Abstract: Publication date: November 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 11
      Author(s): Bing ZHU , Wei HUO
      A nonlinear control is proposed for trajectory tracking of a 6-DOF model-scaled helicopter with constraints on main rotor thrust and fuselage attitude. In the procedure of control design, the mathematical model of helicopter is simplified into three subsystems: altitude subsystem, longitudinal-lateral subsystem and attitude subsystem. The proposed control is developed by combining the sub-controls for the corresponding subsystems. The sub-controls for altitude subsystem and longitudinal-lateral subsystem are designed with hyperbolic tangent functions to satisfy the constraints; the sub-control for attitude subsystem is based on backstepping technique such that fuselage attitude tracks the virtual control for longitudinal-lateral subsystem. It is proved theoretically that tracking errors are ultimately bounded, and control constraints are satisfied. Performances of the proposed controller are demonstrated by simulation results.

      PubDate: 2014-12-13T17:50:35Z
      DOI: 10.1016/s1874-1029(14)60411-0
       
  • Properties and Data-driven Design of Perceptual Reasoning Method Based
           Linguistic Dynamic Systems
    • Authors: Cheng-Dong LI; Gui-Qing ZHANG; Hui-Dong WANG; Wei-Na REN
      Pages: 2221 - 2232
      Abstract: Publication date: October 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 10
      Author(s): Cheng-Dong LI , Gui-Qing ZHANG , Hui-Dong WANG , Wei-Na REN
      The linguistic dynamic systems (LDSs) based on type-1 fuzzy sets can provide a powerful tool for modeling, analysis, evaluation and control of complex systems. However, as pointed out in earlier studies, it is much more reasonable to take type-2 fuzzy sets to model the existing uncertainties of linguistic words. In this paper, the LDS based on type-2 fuzzy sets is studied, and its reasoning process is realized through the perceptual reasoning method. The properties of the perceptual reasoning method based LDS (PR-LDS) are explored. These properties demonstrated that the output of PR-LDS is intuitive and the computation complexity can be reduced when the consequent type-2 fuzzy numbers in the rule base satisfy some conditions. Further, a data driven method for the design of the PR-LDS is provided. At last, the effectiveness and rationality of the proposed data-driven method are verified by an example.

      PubDate: 2014-11-06T15:23:36Z
      DOI: 10.1016/s1874-1029(14)60360-8
       
  • Synthesizing Performance-driven Facial Animation
    • Authors: Chang-Wei LUO; Jun YU; Zeng-Fu WANG
      Pages: 2245 - 2252
      Abstract: Publication date: October 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 10
      Author(s): Chang-Wei LUO , Jun YU , Zeng-Fu WANG
      In this paper, we present a system for real-time performance-driven facial animation. With the system, the user can control the facial expression of a digital character by acting out the desired facial action in front of an ordinary camera. First, we create a muscle-based 3D face model. The muscle actuation parameters are used to animate the face model. To increase the reality of facial animation, the orbicularis oris in our face model is divided into the inner part and outer part. We also establish the relationship between jaw rotation and facial surface deformation. Second, a real-time facial tracking method is employed to track the facial features of a performer in the video. Finally, the tracked facial feature points are used to estimate muscle actuation parameters to drive the face model. Experimental results show that our system runs in real time and outputs realistic facial animations. Compared with most existing performance-based facial animation systems, ours does not require facial markers, intrusive lighting, or special scanning equipment, thus it is inexpensive and easy to use.

      PubDate: 2014-11-06T15:23:36Z
      DOI: 10.1016/s1874-1029(14)60361-x
       
  • Detecting Local Manifold Structure for Unsupervised Feature Selection
    • Authors: Ding-Cheng FENG; Feng CHEN; Wen-Li XU
      Pages: 2253 - 2261
      Abstract: Publication date: October 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 10
      Author(s): Ding-Cheng FENG , Feng CHEN , Wen-Li XU
      Unsupervised feature selection is fundamental in statistical pattern recognition, and has drawn persistent attention in the past several decades. Recently, much work has shown that feature selection can be formulated as nonlinear dimensionality reduction with discrete constraints. This line of research emphasizes utilizing the manifold learning techniques, where feature selection and learning can be studied based on the manifold assumption in data distribution. Many existing feature selection methods such as Laplacian score, SPEC (spectrum decomposition of graph Laplacian), TR (trace ratio) criterion, MSFS (multi-cluster feature selection) and EVSC (eigenvalue sensitive criterion) apply the basic properties of graph Laplacian, and select the optimal feature subsets which best preserve the manifold structure defined on the graph Laplacian. In this paper, we propose a new feature selection perspective from locally linear embedding (LLE), which is another popular manifold learning method. The main difficulty of using LLE for feature selection is that its optimization involves quadratic programming and eigenvalue decomposition, both of which are continuous procedures and different from discrete feature selection. We prove that the LLE objective can be decomposed with respect to data dimensionalities in the subset selection problem, which also facilitates constructing better coordinates from data using the principal component analysis (PCA) technique. Based on these results, we propose a novel unsupervised feature selection algorithm, called locally linear selection (LLS), to select a feature subset representing the underlying data manifold. The local relationship among samples is computed from the LLE formulation, which is then used to estimate the contribution of each individual feature to the underlying manifold structure. These contributions, represented as LLS scores, are ranked and selected as the candidate solution to feature selection. We further develop a locally linear rotation-selection (LLRS) algorithm which extends LLS to identify the optimal coordinate subset from a new space. Experimental results on real-world datasets show that our method can be more effective than Laplacian eigenmap based feature selection methods.

      PubDate: 2014-11-06T15:23:36Z
      DOI: 10.1016/s1874-1029(14)60362-1
       
  • Residual Distributed Compressive Video Sensing Based on Double Side
           Information
    • Authors: Jian CHEN; Kai-Xiong SU; Wei-Xing WANG; Cheng-Dong LAN
      Pages: 2316 - 2323
      Abstract: Publication date: October 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 10
      Author(s): Jian CHEN , Kai-Xiong SU , Wei-Xing WANG , Cheng-Dong LAN
      Compressed sensing (CS) is a novel technology to acquire and reconstruct sparse signals below the Nyquist rate. It has great potential in image and video acquisition and processing. To effectively improve the sparsity of signal being measured and reconstructing efficiency, an encoding and decoding model of residual distributed compressive video sensing based on double side information (RDCVS-DSI) is proposed in this paper. Exploiting the characteristics of image itself in the frequency domain and the correlation between successive frames, the model regards the video frame in low quality as the first side information in the process of coding, and generates the second side information for the non-key frames using motion estimation and compensation technology at its decoding end. Performance analysis and simulation experiments show that the RDCVS-DSI model can rebuild the video sequence with high fidelity in the consumption of quite low complexity. About 1 ~ 5 dB gain in the average peak signal-to-noise ratio of the reconstructed frames is observed, and the speed is close to the least complex DCVS, when compared with prior works on compressive video sensing.

      PubDate: 2014-11-06T15:23:36Z
      DOI: 10.1016/s1874-1029(14)60363-3
       
  • A Scale Invariant Interest Point Detector in Gabor Based Energy Space
    • Authors: Zheng-Cai CAO; Feng-Le MA; Yi-Li FU; Jian ZHANG
      Pages: 2356 - 2363
      Abstract: Publication date: October 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 10
      Author(s): Zheng-Cai CAO , Feng-Le MA , Yi-Li FU , Jian ZHANG
      Interest point detection is a fundamental issue in many intermediate level vision problems and plays a significant role in vision systems. The previous interest point detectors are designed to detect some special image structures such as corners, junctions, line terminations and so on. These detectors based on some simplified 2D feature models will not work for image features that differ significantly from the models. In this paper, a scale invariant interest point detector, which is appropriate for most types of image features, is proposed based on an iterative method in the Gabor based energy space. It detects interest points by noting that there are some similarities in the phase domain for all types of image features, which are obtained by different detectors respectively. Firstly, this approach obtains the positions of candidate points by detecting the local maxima of a series of energy maps constructed by Gabor filter responses. Secondly, an iterative algorithm is adopted to select the corresponding characteristic scales and accurately locate the interest points simultaneously in the Gabor based energy space. Finally, in order to improve the real-time performance of the approach, a fast implementation of Gabor function is used to accelerate the process of energy space construction. Experiments show that this approach has a broader applicability than the other detectors and has a good performance under rotation and some other image changes.

      PubDate: 2014-11-06T15:23:36Z
      DOI: 10.1016/s1874-1029(14)60364-5
       
  • Sensor Fault Estimation Filter Design for Discrete-time Linear
           Time-varying Systems
    • Authors: Zhen-Hua WANG; Mickael RODRIGUES; Didier THEILLIOL; Yi SHEN
      Pages: 2364 - 2369
      Abstract: Publication date: October 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 10
      Author(s): Zhen-Hua WANG , Mickael RODRIGUES , Didier THEILLIOL , Yi SHEN
      This paper proposes a sensor fault diagnosis method for a class of discrete-time linear time-varying (LTV) systems. In this paper, the considered system is firstly formulated as a descriptor system representation by considering the sensor faults as auxiliary state variables. Based on the descriptor system model, a fault estimation filter which can simultaneously estimate the state and the sensor fault magnitudes is designed via a minimum-variance principle. Then, a fault diagnosis scheme is presented by using a bank of the proposed fault estimation filters. The novelty of this paper lies in developing a sensor fault diagnosis method for discrete LTV systems without any assumption on the dynamic of fault. Another advantage of the proposed method is its ability to detect, isolate and estimate sensor faults in the presence of process noise and measurement noise. Simulation results are given to illustrate the effectiveness of the proposed method.

      PubDate: 2014-11-06T15:23:36Z
      DOI: 10.1016/s1874-1029(14)60365-7
       
  • A Stochastic Filtering Algorithm Using Schrödinger Equation
    • Authors: Hao-Han WU; Fu-Jiang JIN; Lian-You LAI; Liang WANG
      Pages: 2370 - 2376
      Abstract: Publication date: October 2014
      Source:Acta Automatica Sinica, Volume 40, Issue 10
      Author(s): Hao-Han WU , Fu-Jiang JIN , Lian-You LAI , Liang WANG
      This paper provides a new adaptive algorithm for single-step prediction by modeling the potential field of a one dimension Schrödinger wave equation using neural network. This new architecture is referred to as the recurrent quantum neural network (RQNN). The RQNN can filter the signal embedded with non-stationary noise without any priori knowledge of the shape of the signal and statistical properties of the noise. We compared the simulation results of the RQNN with a classical adaptive stochastic filter-RLS. It is shown that the RQNN is much more efficient in denoising signals embedded with Gaussian stationary, non-Gaussian stationary and Gaussian non-stationary noise such as DC, sinusoid, staircase and speech signals. The RQNN can enhance the signal to noise rate (SNR) by 20 dB, which is more than 10 dB given by the traditional technology when it denoising sinusoid signal.

      PubDate: 2014-11-06T15:23:36Z
      DOI: 10.1016/s1874-1029(14)60366-9
       
  • Illumination Compensation for Face Recognition Using Only One Image
    • Authors: Lan LIN; Ge ZHAO; Yan-Dong TANG; Jian-Dong TIAN; Si-Yuan HE
      Pages: 2090 - 2099
      Abstract: Publication date: December 2013
      Source:Acta Automatica Sinica, Volume 39, Issue 12
      Author(s): Lan LIN , Ge ZHAO , Yan-Dong TANG , Jian-Dong TIAN , Si-Yuan HE
      To reduce the negative impact of illumination on face recognition, we propose a new illumination compensation method based on image invariant calculation. This invariant (the sum of compensating angles, SCA) is calculated by summing two lighting angles in the proper-compensated state. The SCA only depends on single light source and can be computed only once for a lighting system. Based on the Frankfurt horizontal plane of a human skull, we propose a geometric face model of human skull structure. According to our face model, the compensating angle is calculated from the SCA for a face image taken in the same lighting system. With this compensating angle, the illumination compensation for a face image is done by an additive operation. The experimental results validate our method on the Yale B face database. Compared with Choi's methods, our method makes obvious improvement on images with large lighting angle, and is more robust to light change in both horizontal and vertical directions.

      PubDate: 2014-01-05T09:01:36Z
      DOI: 10.1016/s1874-1029(14)60001-x
       
  • Semiglobal Stabilization via Output-feedback for a Class of Uncertain
           Nonlinear Systems
    • Authors: Meng-Liang LIU; Yun-Gang LIU
      Pages: 2154 - 2159
      Abstract: Publication date: December 2013
      Source:Acta Automatica Sinica, Volume 39, Issue 12
      Author(s): Meng-Liang LIU , Yun-Gang LIU
      This paper considers the semiglobal stabilization via output-feedback for a class of uncertain nonlinear systems. Different from the existing results, the systems under investigation possess more serious nonlinearities and unknown control coefficients which substantially increase the difficulty of output-feedback controller design. Combining the backstepping method and output-feedback domination approach, a semiglobal stabilizing controller is explicitly given, which can guarantee that the closed-loop system achieves the semiglobal asymptotic stability under the appropriate choice of design parameter. A simulation example validates the theoretical results and the proposed approach.

      PubDate: 2014-01-05T09:01:36Z
      DOI: 10.1016/s1874-1029(14)60002-1
       
  • Sufficient and Necessary Condition of Admissibility for Fractional-order
           Singular System
    • Authors: Yao YU; Zhuang JIAO; Chang-Yin SUN
      Pages: 2160 - 2164
      Abstract: Publication date: December 2013
      Source:Acta Automatica Sinica, Volume 39, Issue 12
      Author(s): Yao YU , Zhuang JIAO , Chang-Yin SUN
      This paper focuses on the admissibility condition for fractional-order singular system with order α ∈ (0, 1). The definitions of regularity, impulse-free and admissibility are given first, then a sufficient and necessary condition of admissibility for fractional-order singular system is established. A numerical example is included to illustrate the proposed condition.

      PubDate: 2014-01-05T09:01:36Z
      DOI: 10.1016/s1874-1029(14)60003-3
       
  • Design, Analysis and Real-time Implementation of Networked Predictive
           Control Systems
    • Abstract: Publication date: November 2013
      Source:Acta Automatica Sinica, Volume 39, Issue 11
      Author(s): Guo-Ping LIU , Jian SUN , Yun-Bo ZHAO
      This paper is concerned with the design, analysis and real-time implementation of networked control systems using the predictive control strategy. The analysis of the characteristics of networked control systems is detailed, which shows that a networked control system is much different from conventional control systems. To achieve the desired performance of closed-loop networked control systems, the networked predictive control scheme is introduced. The design, stability analysis and real-time implementation of networked predictive control systems are studied. It is illustrated by simulations and practical experiments that the networked predictive control scheme can compensate for random network communication delay and data dropout, achieve desired control performance and have good closed-loop stability.

      PubDate: 2013-12-04T04:31:03Z
       
  • Mean Square Containment Control of Multi-agent Systems with Transmission
           Noises
    • Abstract: Publication date: November 2013
      Source:Acta Automatica Sinica, Volume 39, Issue 11
      Author(s): Shuai LIU , Li-Hua XIE , Huan-Shui ZHANG
      The containment control problem for multi-agent systems with transmission noises is considered. Due to the existence of the noises, a decaying gain function is introduced to attenuate the noises. Both dynamically switching topologies and randomly switching topologies are considered. Sufficient conditions on the communication graph and control gain function are derived to guarantee the mean square containment. Some numerical examples are provided to verify the results.

      PubDate: 2013-12-04T04:31:03Z
       
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
 
Home (Search)
Subjects A-Z
Publishers A-Z
Customise
APIs
Your IP address: 54.210.158.163
 
About JournalTOCs
API
Help
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-