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  Subjects -> COMPUTER SCIENCE (Total: 2050 journals)
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COMPUTER SCIENCE (1196 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 20)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 22)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 11)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 15)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 5)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 12)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 3)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 17)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 14)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 5)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 3)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 19)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 7)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 9)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 7)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 8)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 27)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 28)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 7)
Advances in Artificial Intelligence     Open Access   (Followers: 15)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 18)
Advances in Computer Science : an International Journal     Open Access   (Followers: 15)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 51)
Advances in Engineering Software     Hybrid Journal   (Followers: 27)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 13)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 23)
Advances in Human-Computer Interaction     Open Access   (Followers: 19)
Advances in Materials Sciences     Open Access   (Followers: 14)
Advances in Operations Research     Open Access   (Followers: 12)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 6)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Remote Sensing     Open Access   (Followers: 43)
Advances in Science and Research (ASR)     Open Access   (Followers: 4)
Advances in Technology Innovation     Open Access   (Followers: 5)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 6)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
AI EDAM     Hybrid Journal  
Air, Soil & Water Research     Open Access   (Followers: 11)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 5)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 5)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 5)
American Journal of Sensor Technology     Open Access   (Followers: 4)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 11)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 12)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annual Reviews in Control     Hybrid Journal   (Followers: 6)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 13)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 11)
Applied Computer Systems     Open Access   (Followers: 2)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 10)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 16)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Applied System Innovation     Open Access  
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 130)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 7)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 7)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Computer Science and Information Technology     Open Access  
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access   (Followers: 1)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 4)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 11)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 9)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 53)
Big Data and Cognitive Computing     Open Access   (Followers: 2)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 281)
Biomedical Engineering     Hybrid Journal   (Followers: 15)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 43)
British Journal of Educational Technology     Hybrid Journal   (Followers: 142)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Capturing Intelligence     Full-text available via subscription  
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal   (Followers: 2)
Cell Communication and Signaling     Open Access   (Followers: 2)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access   (Followers: 2)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 14)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 7)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Full-text available via subscription   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 15)
Clean Air Journal     Full-text available via subscription   (Followers: 1)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combinatorics, Probability and Computing     Hybrid Journal   (Followers: 4)
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
Communication Theory     Hybrid Journal   (Followers: 20)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Computational Physics     Full-text available via subscription   (Followers: 2)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 52)
Communications of the Association for Information Systems     Open Access   (Followers: 16)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access   (Followers: 1)
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 6)
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 8)
Computación y Sistemas     Open Access  
Computation     Open Access  
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 2)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 11)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 15)
Computational Linguistics     Open Access   (Followers: 23)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 5)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Particle Mechanics     Hybrid Journal   (Followers: 1)
Computational Research     Open Access   (Followers: 1)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computational Science and Techniques     Open Access  
Computational Statistics     Hybrid Journal   (Followers: 14)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 30)
Computer     Full-text available via subscription   (Followers: 94)
Computer Aided Surgery     Hybrid Journal   (Followers: 6)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 9)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 23)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 12)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 2)
Computer Music Journal     Hybrid Journal   (Followers: 19)

        1 2 3 4 5 6 | Last

Journal Cover Annual Reviews in Control
  [SJR: 2.443]   [H-I: 51]   [6 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1367-5788
   Published by Elsevier Homepage  [3175 journals]
  • Perturbation analysis: A framework for data-driven control and
           optimization of discrete event and hybrid systems
    • Authors: Y. Wardi; C.G. Cassandras; X.R. Cao
      Abstract: Publication date: Available online 13 April 2018
      Source:Annual Reviews in Control
      Author(s): Y. Wardi, C.G. Cassandras, X.R. Cao
      The history of Perturbation Analysis (PA) is intimately related to that of Discrete Event Dynamic Systems (DEDS), starting with a solution of a long-standing problem in the late 1970s and continuing today with the control and optimization of Hybrid Systems and the emergence of event-driven control methods. We review the origins of the PA theory and how it became part of a broader framework for modelling, control and optimization of DEDS. We then discuss the theoretical underpinnings of Infinitesimal Perturbation Analysis (IPA) as a data-driven stochastic gradient estimation method and how it has been applied over the past few decades. We explain how IPA offers a basis for general-purpose stochastic optimization of Markovian systems through the notion of the performance potential and how it has evolved beyond DEDS and now provides a framework for control and optimization of Hybrid Systems and, more generally, event-driven methodologies.

      PubDate: 2018-04-15T12:27:14Z
      DOI: 10.1016/j.arcontrol.2018.04.003
       
  • Max-plus algebra in the history of discrete event systems
    • Authors: J. Komenda; S. Lahaye; J.-L. Boimond; T. van den Boom
      Abstract: Publication date: Available online 13 April 2018
      Source:Annual Reviews in Control
      Author(s): J. Komenda, S. Lahaye, J.-L. Boimond, T. van den Boom
      This paper is a survey of the history of max-plus algebra and its role in the field of discrete event systems during the last three decades. It is based on the perspective of the authors but it covers a large variety of topics, where max-plus algebra plays a key role.

      PubDate: 2018-04-15T12:27:14Z
      DOI: 10.1016/j.arcontrol.2018.04.004
       
  • On the history of diagnosability and opacity in discrete event systems
    • Authors: Stéphane Lafortune; Feng Lin; Christoforos N. Hadjicostis
      Abstract: Publication date: Available online 11 April 2018
      Source:Annual Reviews in Control
      Author(s): Stéphane Lafortune, Feng Lin, Christoforos N. Hadjicostis
      This paper presents historical remarks on key projects and papers that led to the development of a theory of event diagnosis for discrete event systems modeled by finite-state automata or Petri nets in the 1990s. The goal in event diagnosis is to develop algorithmic procedures for deducing the occurrence of unobservable events, based on a formal model of the system and on-line observations of its behavior. It also presents historical remarks on the early works on the property of opacity, which occurred about ten years later. Opacity can be seen as a strong version of lack of diagnosability and it has been used to capture security and privacy requirements. Finally, diagnosability is connected with the property of observability that arises in supervisory control. This paper is part of set of papers that review the emergence of discrete event systems as an area of research in control engineering.

      PubDate: 2018-04-15T12:27:14Z
      DOI: 10.1016/j.arcontrol.2018.04.002
       
  • A tutorial on modeling and analysis of dynamic social networks. Part II
    • Authors: Anton V. Proskurnikov; Roberto Tempo
      Abstract: Publication date: Available online 10 April 2018
      Source:Annual Reviews in Control
      Author(s): Anton V. Proskurnikov, Roberto Tempo
      Recent years have witnessed a significant trend towards filling the gap between Social Network Analysis (SNA) and control theory. This trend was enabled by the introduction of new mathematical models describing dynamics of social groups, the development of algorithms and software for data analysis and the tremendous progress in understanding complex networks and multi-agent systems (MAS) dynamics. The aim of this tutorial is to highlight a novel chapter of control theory, dealing with dynamic models of social networks and processes over them, to the attention of the broad research community. In its first part (Proskurnikov & Tempo, 2017), we have considered the most classical models of social dynamics, which have anticipated and to a great extent inspired the recent extensive studies on MAS and complex networks. This paper is the second part of the tutorial, and it is focused on more recent models of social processes that have been developed concurrently with MAS theory. Future perspectives of control in social and techno-social systems are also discussed.

      PubDate: 2018-04-15T12:27:14Z
      DOI: 10.1016/j.arcontrol.2018.03.005
       
  • Advancing systems and control research in the era of ML and AI
    • Authors: Pramod P. Khargonekar; Munther A. Dahleh
      Abstract: Publication date: Available online 9 April 2018
      Source:Annual Reviews in Control
      Author(s): Pramod P. Khargonekar, Munther A. Dahleh
      Fields of machine learning and artificial intelligence are undergoing transformative advances and growth. This article presents a vision for the field of systems and control that simultaneously leverages these advances to more fully engage with them and spur new expansive research directions in systems and control.

      PubDate: 2018-04-15T12:27:14Z
      DOI: 10.1016/j.arcontrol.2018.04.001
       
  • Supervisory control of discrete-event systems: A brief history
    • Authors: W.M. Wonham; Kai Cai; Karen Rudie
      Abstract: Publication date: Available online 9 April 2018
      Source:Annual Reviews in Control
      Author(s): W.M. Wonham, Kai Cai, Karen Rudie
      This brief history summarizes the ‘supervisory control of discrete-event systems’ as it has evolved in the period 1980–2017. Overall, the trend has been from centralized or ‘monolithic’ control to more structured architectures, and from ‘naive’ to symbolic computation. Like any ‘history’ this one represents the perspective of the authors; in consequence some important contributions may have been overlooked or short-changed.

      PubDate: 2018-04-15T12:27:14Z
      DOI: 10.1016/j.arcontrol.2018.03.002
       
  • Comparative performances of synchronisation between different classes of
           chaotic systems using three control techniques
    • Authors: P.P. Singh; B.K. Roy
      Abstract: Publication date: Available online 7 April 2018
      Source:Annual Reviews in Control
      Author(s): P.P. Singh, B.K. Roy
      This paper puts forward the comparative performances for synchronisation between (i) systems from different chaotic system families, (ii) systems from the Unified Chaotic System (UCS) family, (iii) a hyperchaotic and a chaotic systems and (iv) identical chaotic systems. Three different well-known control techniques, i.e. Nonlinear Active Control (NAC), Sliding Mode Control (SMC) and Adaptive Control (AC) are used for synchronisation between various pairs of chaotic and/or hyperchaotic systems. Performances of NAC, SMC and AC techniques are investigated and compared with synchronisation of different pairs of chaotic systems based on the error dynamics and required control inputs. The integral square error and required control energy measures are considered for comparison. Finally, a generalised view on the use of the control techniques for synchronisation is finally proposed. Moreover, a new chaotic system is proposed and its qualitative analysis is done to illustrate the chaotic behaviour of the system. The new system is used as an example of synchronisation. MATLAB simulation results are presented which reflect the successful achievement of the objectives.

      PubDate: 2018-04-15T12:27:14Z
      DOI: 10.1016/j.arcontrol.2018.03.003
       
  • On flight operational issues management: Past, present and future
    • Authors: Ali Zolghadri
      Abstract: Publication date: Available online 17 March 2018
      Source:Annual Reviews in Control
      Author(s): Ali Zolghadri
      This paper provides a brief perspective of academic model-based Fault Detection, Identification and Recovery (FDIR) developments for aerospace and flight systems, and discusses a future paradigm shift in civil aviation operations.

      PubDate: 2018-04-15T12:27:14Z
      DOI: 10.1016/j.arcontrol.2018.03.001
       
  • Trajectory planning and tracking for autonomous overtaking:
           State-of-the-art and future prospects
    • Authors: Shilp Dixit; Saber Fallah; Umberto Montanaro; Mehrdad Dianati; Alan Stevens; Francis Mccullough; Alexandros Mouzakitis
      Abstract: Publication date: Available online 9 March 2018
      Source:Annual Reviews in Control
      Author(s): Shilp Dixit, Saber Fallah, Umberto Montanaro, Mehrdad Dianati, Alan Stevens, Francis Mccullough, Alexandros Mouzakitis
      Trajectory planning and trajectory tracking constitute two important functions of an autonomous overtaking system and a variety of strategies have been proposed in the literature for both functionalities. However, uncertainties in environment perception using the current generation of sensors has resulted in most proposed methods being applicable only during low-speed overtaking. In this paper, trajectory planning and trajectory tracking approaches for autonomous overtaking systems are reviewed. The trajectory planning techniques are compared based on aspects such as real-time implementation, computational requirements, and feasibility in real-world scenarios. This review shows that two important aspects of trajectory planning for high-speed overtaking are: (i) inclusion of vehicle dynamics and environmental constraints and (ii) accurate knowledge of the environment and surrounding obstacles. The review of trajectory tracking controllers for high-speed driving is based on different categories of control algorithms where their respective advantages and disadvantages are analysed. This study shows that while advanced control methods improve tracking performance, in most cases the results are valid only within well-regulated conditions. Therefore, existing autonomous overtaking solutions assume precise knowledge of surrounding environment which is not representative of real-world driving. The paper also discusses how in a connected driving environment, vehicles can access additional information that can expand their perception. Hence, the potential of cooperative information sharing for aiding autonomous high-speed overtaking manoeuvre is identified as a possible solution.

      PubDate: 2018-04-15T12:27:14Z
      DOI: 10.1016/j.arcontrol.2018.02.001
       
  • Rudolf E. Kalman’s quest for algebraic characterizations of
           positivity
    • Authors: Tryphon T. Georgiou
      Abstract: Publication date: Available online 3 February 2018
      Source:Annual Reviews in Control
      Author(s): Tryphon T. Georgiou
      The present paper is a tribute to Professor Rudolf Emil Kalman, father of Mathematical System Theory and a towering figure in the field of Control and Dynamical Systems. Amongst his seminal contributions was a series of results and insights into the role of positivity in System Theory and in Control Engineering. The paper contains a collection of reminiscences by the author together with brief technical references that touch upon the unparalleled influence of Professor Kalman on this topic.

      PubDate: 2018-02-05T09:43:12Z
      DOI: 10.1016/j.arcontrol.2018.01.001
       
  • Realization of task intelligence for service robots in an unstructured
           environment
    • Authors: Deok-Hwa Kim; Gyeong-Moon Park; Yong-Ho Yoo; Si-Jung Ryu; In-Bae Jeong; Jong-Hwan Kim
      Pages: 9 - 18
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): Deok-Hwa Kim, Gyeong-Moon Park, Yong-Ho Yoo, Si-Jung Ryu, In-Bae Jeong, Jong-Hwan Kim
      In order to perform various tasks using a robot in a real environment, it is necessary to learn the tasks based on recognition, to be able to derive a task sequence suitable for the situation, and to be able to generate a behavior adaptively. To deal with this issue, this paper proposes a system for realizing task intelligence having a memory module motivated by human episodic memory, and a task planning module to resolve the current situation. In addition, this paper proposes a technique that can modify demonstrated trajectories according to current robot states and recognized target positions in order to perform the determined task sequence, as well as a technique that can generate the modified trajectory without collisions with surrounding obstacles. The effectiveness and applicability of the task intelligence are demonstrated through experiments with Mybot, a humanoid robot developed in the Robot Intelligence Technology Laboratory at KAIST.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.013
      Issue No: Vol. 44 (2017)
       
  • Research developments in vibration control of structures using passive
           tuned mass dampers
    • Authors: Said Elias; Vasant Matsagar
      Pages: 129 - 156
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): Said Elias, Vasant Matsagar
      A state-of-the-art review on the response control of structures mainly using the passive tuned mass damper(s) (TMD/s) is presented. The review essentially focuses on the response control of wind- and earthquake-excited structures and covers theoretical backgrounds of the TMD and research developments therein. To put the TMD within a proper frame of reference, the study begins with a qualitative description and comparison of passive control systems for protecting structures subjected to wind-imparted forces and forces induced due to earthquake ground motions. A detailed literature review of the TMD is then provided with reference to both, the theoretical and experimental researches. Specifically, the review focuses on descriptions of the dynamic behavior and distinguishing features of various systems, viz. single TMD (STMD), multiple tuned mass dampers (MTMDs), and spatially distributed MTMDs (d-MTMD) which have been theoretically developed and experimentally tested both at the component level and through small-scale structural models. The review clearly demonstrates that the TMDs have a potential for improving the wind and seismic behaviors of prototype civil structures. In addition, the review shows that the MTMDs and d-MTMDs are relatively more effective and robust, as reported. The paper shows the scope of future research in development of time and frequency domain analyses of structures installed with the d-MTMDs duly considering uncertainties in the structural parameters and forcing functions. In addition, the consideration of nonlinearity in structural material and geometry is recommended for assessment of the performance of the STMD, MTMDs, or d-MTMDs.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.015
      Issue No: Vol. 44 (2017)
       
  • From vehicular platoons to general networked systems: String stability and
           related concepts
    • Authors: S. Stüdli; M.M. Seron; R.H. Middleton
      Pages: 157 - 172
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): S. Stüdli, M.M. Seron, R.H. Middleton
      Networked systems and their control are highly important and appear in a variety of applications, including vehicle platooning and formation control. Especially vehicle platoons have been intensively investigated. An interesting problem that arises in this area is string stability, which broadly speaking means that an input signal amplifies unboundedly as it travels through the vehicle string. However, various, not necessarily equivalent, definitions are commonly used. In this paper, we aim to formalise the notion of string stability and illustrate the importance of those distinctions on simulation examples. A second goal is to extend the definitions to general networked systems.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.016
      Issue No: Vol. 44 (2017)
       
  • Selected methods of control of the scanning and tracking gyroscope system
           mounted on a combat vehicle
    • Authors: Izabela Krzysztofik; Jakub Takosoglu; Zbigniew Koruba
      Pages: 173 - 182
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): Izabela Krzysztofik, Jakub Takosoglu, Zbigniew Koruba
      At present, remotely controlled modules of weaponry are becoming the basic equipment of modern army. The device for searching and observing air targets is one of the most significant elements of a weapon module. The device of that type in the form of the scanning and tracking gyroscope system is considered in the article. The process of automatic search of a target is carried out during the movement of a combat vehicle as well as during its manoeuvres. After a target is detected, it is tracked till it has been destroyed by the fired missile. The algorithm of control of the scanning and tracking gyroscope system, mounted on the deck of a combat vehicle, was developed. The optimized, classic PD controller, fuzzy controller PD type, fuzzy controller PID type and adaptive fuzzy controller were designed. Numerical research of the dynamics of the controlled gyroscope system and the assessment of the quality of control were conducted. The results of research are presented in a graphical form.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2016.10.003
      Issue No: Vol. 44 (2017)
       
  • Some new applications of Russell’s principle to infinite dimensional
           vibrating systems
    • Authors: Scott W. Hansen; Marius Tucsnak
      Pages: 184 - 198
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): Scott W. Hansen, Marius Tucsnak
      The aim of this work is to highlight the interest of a by now classical methodology, commonly called Russell’s principle, in proposing new control strategies and estimates for infinite dimensional vibrating systems. After describing (with complete proofs) a particular version, of interest for our work, of Russell’s principle, we consider two main applications. The first one, which mainly contains results which are new, studies the approximation of a class of boundary control systems by systems with controls distributed in an open set (internal controls), with the support shrinking to the boundary. These approximations are interesting since for the approximating systems we have bounded input operators, which makes easier the use of many control theoretic tools. The second application concerns the approximation of exact controls for infinite dimensional systems using their projections on finite dimensional spaces. We propose here an alternative, based on Russell’s principle, of the existing approximation methods, often based on inverting the Gramian.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.005
      Issue No: Vol. 44 (2017)
       
  • Control of shallow waves of two unmixed fluids by backstepping
    • Authors: Mamadou Diagne; Shu-Xia Tang; Ababacar Diagne; Miroslav Krstic
      Pages: 211 - 225
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): Mamadou Diagne, Shu-Xia Tang, Ababacar Diagne, Miroslav Krstic
      Among the existing global challenges, water system management is becoming more and more important as the consumption patterns are continually growing. The implication of water system regulation in irrigated agriculture and production of sustainable energy is self-evident nowadays. In the present paper, new perspectives are given on the control of water flowing in an open channel. Mathematically, these physical processes are described by coupled hyperbolic partial differential equations (PDEs). In view of the recent development in PDE control, backstepping methodology has been proven to be a powerful tool in the sense that it provides a systematic design technique. This paper presents the exponential stabilization results of two shallow wave systems including the shallow waves of two unmixed fluids.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.003
      Issue No: Vol. 44 (2017)
       
  • Emergent patterns in agent-environment interactions and their roles in
           supporting agile spatial skills
    • Authors: Bérénice Mettler; Abhishek Verma; Andrew Feit
      Pages: 252 - 273
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): Bérénice Mettler, Abhishek Verma, Andrew Feit
      This paper provides a review of the analysis and modeling of human spatial planning, perception, and learning based on the dynamics of agent-environment interactions. The approach stems from an analysis and modeling framework that was previously conceived using interaction patterns emerging from system-wide interactions as the basic unit of analysis. The paper first discusses the rationals for using patterns in agent-environment interactions as units of organization of behavior, and as functional units of the modeling framework. These concepts are then illustrated through two applications using experimental data from a first-person flight simulator that implements agile obstacle navigation tasks. The first application focuses on the analysis of the formation and evolution of interaction patterns over successive trials, and the use of these patterns as basic elements of the task environment representation, enabling the evaluation of the learning process and assessment of the operator performance. The second application focuses on the analysis of interaction patterns as functional units supporting the modeling of the underlying perceptual guidance and control mechanisms. These examples demonstrate the relevance of dynamics in agent-environment interactions for studying a wide range of functions across the human control hierarchy.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.001
      Issue No: Vol. 44 (2017)
       
  • Modelling human control of steering for the design of advanced driver
           assistance systems
    • Authors: Franck Mars; Philippe Chevrel
      Pages: 292 - 302
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): Franck Mars, Philippe Chevrel
      This paper reviews a set of scientific studies on how driver modelling may serve as the basis for designing advanced driving assistance systems. The work was aimed at explicitly representing the human visual and motor processes involved in the control of steering, and took into account current knowledge in the behavioural sciences. The nature and structure of the model, and its calibration using experimental data (identification), were addressed. Two design applications were considered: 1) estimating the driver state in various conditions of distraction and 2) building an automatic controller for haptic shared control of the steering wheel.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.011
      Issue No: Vol. 44 (2017)
       
  • Towards increased systems resilience: New challenges based on dissonance
           control for human reliability in Cyber-Physical&Human Systems
    • Authors: F. Vanderhaegen
      Pages: 316 - 322
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): F. Vanderhaegen
      This paper discusses concepts and tools for joint human and cyber-physical-systems analysis and control in the view of increasing the whole system resilience. More precisely, it details new challenges for human reliability based on dissonance control of Cyber-Physical&Human Systems (CPHS) to improve the system's resilience. The proposed framework relates to three main topics: the stability analysis in terms of dissonances, the dissonance identification, and the dissonance control. Dissonance oriented stability analysis in this sense consists in determining any conflicting situations resulting from the human behaviors interacting with Cyber-Physical Systems (CPS). Frames of reference support the assessment of stable or unstable gaps among stability shaping factors and the identification of dissonances. Dissonance control consists in reinforcing the frames of reference by applying reinforcement modes. It aims then at accepting or rejecting the identified dissonances by using supports such as expert judgment, feedback of experience, simulation, learning or cooperation. An example in road transportation illustrates the interest of the proposed framework by studying possible dissonances between car drivers and CPS. As automation spreads out in society by generating close interactions with humans, the ideas of the paper will support the design of new analysis and control tools jointly made by researchers from social and control sciences to study the resilience of the whole CPHS in terms of dissonances.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.008
      Issue No: Vol. 44 (2017)
       
  • Perception, information processing and modeling: Critical stages for
           autonomous driving applications
    • Authors: Dominique Gruyer; Valentin Magnier; Karima Hamdi; Laurène Claussmann; Olivier Orfila; Andry Rakotonirainy
      Pages: 323 - 341
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): Dominique Gruyer, Valentin Magnier, Karima Hamdi, Laurène Claussmann, Olivier Orfila, Andry Rakotonirainy
      Over the last decades, the development of Advanced Driver Assistance Systems (ADAS) has become a critical endeavor to attain different objectives: safety enhancement, mobility improvement, energy optimization and comfort. In order to tackle the first three objectives, a considerable amount of research focusing on autonomous driving have been carried out. Most of these works have been conducted within collaborative research programs involving car manufacturers, OEM and research laboratories around the world. Recent research and development on highly autonomous driving aim to ultimately replace the driver's actions with robotic functions. The first successful steps were dedicated to embedded assistance systems such as speed regulation (ACC), obstacle collision avoidance or mitigation (Automatic Emergency Braking), vehicle stability control (ESC), lane keeping or lane departure avoidance. Partially automated driving will require co-pilot applications (which replace the driver on his all driving tasks) involving a combination of the above methods, algorithms and architectures. Such a system is built with complex, distributed and cooperative architectures requiring strong properties such as reliability and robustness. Such properties must be maintained despite complex and degraded working conditions including adverse weather conditions, fog or dust as perceived by sensors. This paper is an overview on reliability and robustness issues related to sensors processing and perception. Indeed, prior to ensuring a high level of safety in the deployment of autonomous driving applications, it is necessary to guarantee a very high level of quality for the perception mechanisms. Therefore, we will detail these critical perception stages and provide a presentation of usable embedded sensors. Furthermore, in this study of state of the art of recent highly automated systems, some remarks and comments about limits of these systems and potential future research ways will be provided. Moreover, we will also give some advice on how to design a co-pilot application with driver modeling. Finally, we discuss a global architecture for the next generation of co-pilot applications. This architecture is based on the use of recent methods and technologies (AI, Quantify self, IoT …) and takes into account the human factors and driver modeling.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.012
      Issue No: Vol. 44 (2017)
       
  • Control sharing in human-robot team interaction
    • Authors: Selma Musić; Sandra Hirche
      Pages: 342 - 354
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): Selma Musić, Sandra Hirche
      The interaction between humans and robot teams is highly relevant in many application domains, for example in collaborative manufacturing, search and rescue, and logistics. It is well-known that humans and robots have complementary capabilities: Humans are excellent in reasoning and planning in unstructured environments, while robots are very good in performing tasks repetitively and precisely. In consequence, one of the key research questions is how to combine human and robot team decision making and task execution capabilities in order to exploit their complementary skills. From a controls perspective this question boils down to how control should be shared among them. This article surveys advances in human-robot team interaction with special attention devoted to control sharing methodologies. Additionally, aspects affecting the control sharing design, such as human behavior modeling, level of autonomy and human-machine interfaces are identified. Open problems and future research directions towards joint decision making and task execution in human-robot teams are discussed.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.017
      Issue No: Vol. 44 (2017)
       
  • Sensing motion and muscle activity for feedback control of functional
           electrical stimulation: Ten years of experience in Berlin
    • Authors: Thomas Schauer
      Pages: 355 - 374
      Abstract: Publication date: 2017
      Source:Annual Reviews in Control, Volume 44
      Author(s): Thomas Schauer
      After complete or partial paralysis due to stroke or spinal cord injury, electrical nerve stimulation can be used to artificially generate functional muscle contractions. This technique is known as Functional Electrical Stimulation (FES). In combination with appropriate sensor technology and feedback control, FES can be empowered to elicit also complex functional movements of everyday relevance. Depending on the degree and phase of impairment, the goal may be temporary support in a rehabilitation phase, e.g. during re-learning of gait after a stroke, or permanent replacement/support of lost motor functions in form of assistive devices often referred to as neuro-prostheses. In this contribution a number of real-time capable and portable approaches for sensing muscle contractions and motions are reviewed that enable the realization of feedback control schemes. These include inertial measurement units (IMUs), electromyography (EMG), and bioimpedance (BI). This contribution further outlines recent concepts for movement control, which include e.g. cascaded control schemes. A fast inner control loop based on the FES-evoked EMG directly controls the amount of recruited motor units. The design and validation of various novel FES systems are then described that support cycling, walking, reaching, and swallowing. All methods and systems have been developed at the Technische Universität Berlin by the Control Systems Group within the last 10 years in close cooperation with clinical and industrial partners.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.09.014
      Issue No: Vol. 44 (2017)
       
  • Stochastic model predictive control with active uncertainty learning: A
           Survey on dual control
    • Authors: Ali Mesbah
      Abstract: Publication date: Available online 20 November 2017
      Source:Annual Reviews in Control
      Author(s): Ali Mesbah
      This paper provides a review of model predictive control (MPC) methods with active uncertainty learning. System uncertainty poses a key theoretical and practical challenge in MPC, which can be aggravated when system uncertainty increases due to the time-varying nature of system dynamics. For uncertain systems with stochastic uncertainty, this paper presents the stochastic MPC (SMPC) problem in the dual control paradigm, where the control inputs to an uncertain system have a probing effect for active uncertainty learning and a directing effect for controlling the system dynamics. The complexity of the SMPC problem with dual control effect is described in connection to stochastic dynamic programming as well as Bayesian estimation for its output feedback implementation. Further, implicit and explicit dual control methods for approximating the receding-horizon control problem with dual control effect are surveyed and analyzed with the intent to discuss the key challenges and opportunities in SMPC with dual control effect.

      PubDate: 2017-12-26T17:24:43Z
      DOI: 10.1016/j.arcontrol.2017.11.001
       
  • Automating mobility in smart cities
    • Authors: Christos G. Cassandras
      Abstract: Publication date: Available online 12 October 2017
      Source:Annual Reviews in Control
      Author(s): Christos G. Cassandras
      Smart Cities are examples of Cyber-Physical Systems whose goals include improvements in transportation, energy distribution, emergency response, and infrastructure maintenance, to name a few. When it comes to mobility, the availability of large amounts of data, ubiquitous wireless connectivity, and the critical need for scalability open the door for new control and optimization methods with the aim of automating all aspects of mobility, from interconnected self-driving vehicles to sharing transportation resources. We address two key questions: can control and optimization methods enable this automation and, if so, how can we quantify its benefits to justify the challenging technological, economic, and social transitions involved' An optimal control framework is presented to show how Connected Automated Vehicles (CAVs) can operate in a dynamic resource contention environment, primarily urban intersections without any traffic lights. We also describe how large amounts of actual traffic data can be harnessed and drive inverse optimization methods to quantify the value of CAVs in terms of eliminating the prevailing Price of Anarchy: the gap between current “selfish” user-centric and optimal “social” system-centric traffic equilibria which are achievable with automated mobility.

      PubDate: 2017-10-13T22:27:04Z
      DOI: 10.1016/j.arcontrol.2017.10.001
       
  • Review of control models for human pilot behavior
    • Authors: Shuting Wenqian; Tan Alexander Efremov Liguo Sun Xiangju
      Abstract: Publication date: Available online 11 October 2017
      Source:Annual Reviews in Control
      Author(s): Shuting Xu, Wenqian Tan, Alexander V. Efremov, Liguo Sun, Xiangju Qu
      Pilot modeling techniques, have played a crucial role in manned aviation and have also, as a consequence, generated major advances in human control behavior research. This paper presents a review of control models for human pilot behavior. The purposes of the models are to analyze the characteristics of the pilot-aircraft system, and to provide valuable guidance in the flight control system design. Existing human pilot models are classified into three types. The first category of models, based on control theory, can only be used to describe the control functions of human pilot. The typical models include McRuer quasi-linear models and optimal control models. Then the principle of human pilot control behavior was revealed from the physiological perspective, the Hess structural model being the most common one. Hosman's descriptive model and biodynamic model are also summarized. The paper also proposes that the development of artificial intelligence technology has enabled the study of nonlinear characteristics of pilot behavior in manual control. Models based on intelligence techniques are briefly introduced, e.g., fuzzy control models, neural network models. Finally, the paper outlines several typical and future applications of the techniques in the pilot modeling field. However, as the presented discussion is limited to a small area of pilot modeling, many other challenges remain open for further research and development.

      PubDate: 2017-10-11T19:45:43Z
       
  • POD-based error control for reduced-order bicriterial PDE-constrained
           optimization
    • Authors: Stefan Banholzer; Dennis Beermann Stefan Volkwein
      Abstract: Publication date: Available online 10 October 2017
      Source:Annual Reviews in Control
      Author(s): Stefan Banholzer, Dennis Beermann, Stefan Volkwein
      In the present paper, a bicriterial optimal control problem governed by an abstract evolution problem and bilateral control constraints is considered. To compute Pareto optimal points and the Pareto front numerically, the (Euclidean) reference point method is applied, where many scalar constrained optimization problems have to be solved. For this reason a reduced-order approach based on proper orthogonal decomposition (POD) is utilized. An a-posteriori error analysis ensures a desired accuracy for the Pareto optimal points and for the Pareto front computed by the POD method. Numerical experiments for evolution problems with convection-diffusion illustrate the efficiency of the presented approach.

      PubDate: 2017-10-11T19:45:43Z
       
  • Special section on Cyber-Physical & Human Systems (CPHS)
    • Authors: Mariana Netto; Sarah Spurgeon
      Abstract: Publication date: Available online 9 October 2017
      Source:Annual Reviews in Control
      Author(s): Mariana Netto, Sarah K. Spurgeon


      PubDate: 2017-10-11T19:45:43Z
       
  • CPDE special section
    • Authors: Ralph C. Smith; Hans Zwart
      Abstract: Publication date: Available online 4 October 2017
      Source:Annual Reviews in Control
      Author(s): Ralph C. Smith, Hans Zwart


      PubDate: 2017-10-11T19:45:43Z
      DOI: 10.1016/j.arcontrol.2017.09.007
       
  • The out-of-the-loop Brain: A neuroergonomic approach of the human
           automation interaction
    • Authors: Bruno Berberian; Bertille Somon; Aïsha Sahaï; Jonas Gouraud
      Abstract: Publication date: Available online 4 October 2017
      Source:Annual Reviews in Control
      Author(s): Bruno Berberian, Bertille Somon, Aïsha Sahaï, Jonas Gouraud
      The world surrounding us has become increasingly technological. Nowadays, the influence of automation is perceived in each aspect of everyday life. If automation makes some aspects of life easier, faster and safer, empirical data also suggests that it could have negative performance and safety consequences regarding human operators, a set of difficulties called the “out-of-the-loop” (OOTL) performance problem. However, after decades of research, this phenomenon remains difficult to grasp and counter. In this paper, we propose a neuroergonomics approach to treat this phenomenon. We first describe how automation impacts human operators. Then, we present the current knowledge relative to this OOTL phenomenon. Finally, we describe how recent insights in neurosciences can help characterize, quantify and compensate this phenomenon.

      PubDate: 2017-10-11T19:45:43Z
      DOI: 10.1016/j.arcontrol.2017.09.010
       
  • Snake robots
    • Authors: Kristin Y. Pettersen
      Abstract: Publication date: Available online 3 October 2017
      Source:Annual Reviews in Control
      Author(s): Kristin Y. Pettersen
      The inspiration for snake robots comes from biological snakes. Snakes display superior mobility capabilities and can move over virtually any type of terrain, including narrow and confined spaces. They are good climbers, very efficient swimmers, and some snakes can even fly by jumping off branches and using their body to glide through the air. Also, a snake robot is a highly articulated robot manipulator arm with the capability of providing its own propulsion. In this work, we review recent results on modeling, analysis, and control of snake robots moving both on land and underwater. We also describe a new research direction within snake robotics, where underwater snake robots are equipped with thrusters along the body to improve maneuverability and provide hovering capabilities, and how this robot addresses current needs for subsea resident robots in the oil and gas industry.

      PubDate: 2017-10-03T19:13:38Z
      DOI: 10.1016/j.arcontrol.2017.09.006
       
  • On the dynamics of deterministic epidemic propagation over networks
    • Authors: Wenjun Mei; Shadi Mohagheghi; Sandro Zampieri; Francesco Bullo
      Abstract: Publication date: Available online 28 September 2017
      Source:Annual Reviews in Control
      Author(s): Wenjun Mei, Shadi Mohagheghi, Sandro Zampieri, Francesco Bullo
      In this work we review a class of deterministic nonlinear models for the propagation of infectious diseases over contact networks with strongly-connected topologies. We consider network models for Susceptible-Infected (SI), Susceptible-Infected-Susceptible (SIS), and Susceptible-Infected-Recovered (SIR) settings. In each setting, we provide a comprehensive nonlinear analysis of equilibria, stability properties, convergence, monotonicity, positivity, and threshold conditions. For the network SI setting, specific contributions include establishing its equilibria, stability, and positivity properties. For the network SIS setting, we review a well-known deterministic model, provide novel results on the computation and characterization of the endemic state (when the system is above the epidemic threshold), and present alternative proofs for some of its properties. Finally, for the network SIR setting, we propose novel results for transient behavior, threshold conditions, stability properties, and asymptotic convergence. These results are analogous to those well-known for the scalar case. In addition, we provide a novel iterative algorithm to compute the asymptotic state of the network SIR system.

      PubDate: 2017-10-03T19:13:38Z
      DOI: 10.1016/j.arcontrol.2017.09.002
       
  • Active disturbance rejection control: Old and new results
    • Authors: Hongyinping Feng; Bao-Zhu Guo
      Abstract: Publication date: Available online 30 May 2017
      Source:Annual Reviews in Control
      Author(s): Hongyinping Feng, Bao-Zhu Guo
      The active disturbance rejection control (ADRC), first proposed by Jingqing Han in the 1980s is an unconventional design strategy. It has been acknowledged to be an effective control strategy in the absence of proper models and in the presence of model uncertainty. Its power was originally demonstrated by numerical simulations, and later by many engineering practices. For the theoretical problems, namely, the convergence of the tracking differentiator which extracts the derivative of reference signal; the extended state observer used to estimate not only the state but also the “total disturbance”, by the output; and the extended state observer based feedback, progresses have also been made in the last few years from nonlinear lumped parameter systems to distributed parameter systems. The aim of this paper is to review the origin, idea and development of this new control technology from a theoretical perspective. Emphasis will be focused on output feedback stabilization for uncertain systems described by partial differential equations.

      PubDate: 2017-06-01T12:59:45Z
      DOI: 10.1016/j.arcontrol.2017.05.003
       
  • Trends and future perspectives of electronic throttle control system in a
           spark ignition engine
    • Authors: B. Ashok; S. Denis Ashok; C. Ramesh Kumar
      Abstract: Publication date: Available online 24 May 2017
      Source:Annual Reviews in Control
      Author(s): B. Ashok, S. Denis Ashok, C. Ramesh Kumar
      Electronic throttle control (ETC) system has turned into an extremely prominent system with a specific end goal to vary the intake airflow rate to provide a better fuel economy, emissions, drivability and also for integration with other systems in spark ignition engines. ETC system consists of mechatronic device called as electronic throttle body (ETB) which is located in the intake manifold of an engine after the air filter and also has a separate control system in the engine management system (EMS). The throttle angle has to be precisely maintained based on the driver and other system requirements to provide an enhanced throttle response and drivability. However, existence of nonlinearities in the system, such as limp-home position, friction, airflow and aging, affects the position accuracy of the throttle valve. A control system strategy is employed in EMS to handle the other system requirements in throttle opening angle estimation and the nonlinearities in position control. This work features developments within the electronic throttle control system and reviews about the various research work carried in this area. This work will not enforce any new results rather than it will discuss the trends followed in past and also proposes some of the future perspectives in the electronic throttle control process.

      PubDate: 2017-05-26T12:42:28Z
      DOI: 10.1016/j.arcontrol.2017.05.002
       
  • Robust control under parametric uncertainty: An overview and recent
           results
    • Authors: S.P. Bhattacharyya
      Abstract: Publication date: Available online 12 May 2017
      Source:Annual Reviews in Control
      Author(s): S.P. Bhattacharyya
      Modern Robust Control has had two distinct lines of development: (a) Robustness through quadratic optimization and (b) Robustness under parametric uncertainty. The first approach consists of Kalman’s Linear Quadratic Regulator and H ∞ optimal control. The second approach is the focus of this overview paper. It provides an account of both analysis as well as synthesis based results. This line of results was sparked by the appearance of Kharitonov’s Theorem in the early1980s. This result was rapidly followed by further results on the stability of polytopes of polynomials such as the Edge Theorem and the Generalized Kharitonov Theorem, stability of systems under norm bounded perturbations and the computation of parametric stability margins. Many of these analysis results established extremal testing sets where stability or performance would breakdown. Starting in 1997, when it was established that high order controllers were fragile, attention turned to the synthesis and design of the parameters of low order controllers such as three term controllers and more particularly Proportional-Integral-Derivative (PID) controllers. An extensive theory of design of such systems has developed in the last twenty years. We provide a summary without proofs, of many of these results.

      PubDate: 2017-05-16T12:02:16Z
      DOI: 10.1016/j.arcontrol.2017.05.001
       
  • Systems & Control for the future of humanity, research agenda: Current
           and future roles, impact and grand challenges
    • Authors: Francoise Lamnabhi-Lagarrigue; Anuradha Annaswamy; Sebastian Engell; Alf Isaksson; Pramod Khargonekar; Richard M. Murray; Henk Nijmeijer; Tariq Samad; Dawn Tilbury; Paul Van den Hof
      Abstract: Publication date: Available online 26 April 2017
      Source:Annual Reviews in Control
      Author(s): Francoise Lamnabhi-Lagarrigue, Anuradha Annaswamy, Sebastian Engell, Alf Isaksson, Pramod Khargonekar, Richard M. Murray, Henk Nijmeijer, Tariq Samad, Dawn Tilbury, Paul Van den Hof
      Following in the footsteps of the renowned report “Control in an Information Rich World,” Report of the Panel on “Future Directions in Control, Dynamics, and Systems” chaired by Richard Murray (2002), this paper aims to demonstrate that Systems & Control is at the heart of the Information and Communication Technologies to most application domains. As such, Systems & Control should be acknowledged as a priority by funding agencies and supported at the levels necessary to enable technologies addressing critical societal challenges. A second intention of this paper is to present to the industrials and the young research generation, a global picture of the societal and research challenges where the discipline of Systems & Control will play a key role. Throughout, this paper demonstrates the extremely rich, current and future, cross-fertilization between five critical societal challenges and seven key research and innovation Systems & Control scientific challenges. This paper is authored by members of the IFAC Task Road Map Committee, established following the 19th IFAC World Congress in Cape Town. Other experts who authored specific parts are listed below.

      PubDate: 2017-05-01T04:02:44Z
      DOI: 10.1016/j.arcontrol.2017.04.001
       
  • Large time control and turnpike properties for wave equations
    • Authors: Enrique Zuazua
      Abstract: Publication date: Available online 21 April 2017
      Source:Annual Reviews in Control
      Author(s): Enrique Zuazua
      In the last decades mathematical control theory has been extensively developed to handle various models, including Ordinary and Partial Differential Equations (ODE and PDE), both of deterministic and stochastic nature, discrete and hybrid systems. However, little attention has been paid to the length of the time horizon of control, which is necessarily long in many applications, and to how it affects the nature of controls and controlled trajectories. The turnpike property refers precisely to those aspects and stresses the fact that, often, optimal controls and trajectories, in long time intervals, undergo some relevant asymptotic simplification property ensuring that, during most of the time-horizon of control, optimal pairs remain close to the steady-state optimal one. Due to the intrinsic finite velocity of propagation and the oscillatory nature of solutions of the free wave equation, optimal controls for waves are typically of oscillatory nature. But, despite this, as we shall see, under suitable coercivity conditions on the cost functional to be minimised and when controllability holds, the turnpike property is also fulfilled for the wave equation. When this occurs, the approximation of the time-depending control problem by the steady-state one is justified, a fact that is often employed in applications to reduce the computational cost. We present some recent results of this nature for the wave equation and other closely related conservative systems, and discuss some other related issues and a number of relevant open problems that arise in this field.

      PubDate: 2017-04-24T03:42:25Z
      DOI: 10.1016/j.arcontrol.2017.04.002
       
  • Control problems in building energy retrofit and maintenance planning
    • Authors: Xiaohua Xia
      Abstract: Publication date: Available online 20 April 2017
      Source:Annual Reviews in Control
      Author(s): Xiaohua Xia
      This paper presents a series of control problems in prioritizing building energy retrofit and maintenance plans through a review of recent studies. The building energy retrofits can be strategically performed on policy level, management level, system level and unit level. Based on existing research efforts, this study casts the optimal building maintenance planning problem into a general control system framework. Unlike traditional control applications, this study argues that the control system framework is also applicable to the building energy management level, which will significantly improve the sustainability of realized energy savings and cost-effectiveness of building energy retrofits. In a general control framework, a number of research problems in the control systems are formulated, namely 1) control system decay dynamics modeling; 2) control system inputs and model uncertainties; 3) control system outputs; 4) control system uncertainties and disturbances; 5) control system algorithms; and 6) grouping and modeling. The proposed control problems bring out the intrinsic relationship of reliability engineering, maintenance engineering and control engineering in the broad directions of energy efficiency and optimization. Investigations into the proposed control problems will contribute to further improvements in the building energy retrofit and maintenance plans than the currently prevailing engineering practice.

      PubDate: 2017-04-24T03:42:25Z
      DOI: 10.1016/j.arcontrol.2017.04.003
       
  • Machine learning methods in computational cancer biology
    • Authors: Mathukumalli Vidyasagar
      Abstract: Publication date: Available online 12 April 2017
      Source:Annual Reviews in Control
      Author(s): Mathukumalli Vidyasagar
      Cancer is the second leading cause of death, next only to heart disease, in both developed as well as developing countries. A major source of difficulty in addressing cancer as a disease is its bewildering variety, in that no two manifestations of cancer are alike, even when they occur in the same site. This makes cancer an ideal candidate for “personalized medicine” (also known as “precision medicine”). At present there are some high-quality public databases consisting of both molecular measurements of tumors, as well as clinical data on the patients. By applying machine learning methods to these databases, it is possible even for non-experimenters to generate plausible hypotheses that are supported by the data, which can then be validated on one or more independent data sets. A characteristic of cancer databases is that the number of measured features is many orders of magnitude larger than the number of samples. Therefore any machine learning algorithms must also perform feature selection, that is, elicit the most relevant or most predictive features from the large number of measured features. In this paper, some algorithms for sparse regression and sparse classification are reviewed, and their applications to endometrial and ovarian cancer are discussed.

      PubDate: 2017-04-17T04:40:25Z
      DOI: 10.1016/j.arcontrol.2017.03.007
       
  • Validation of nonlinear integrated navigation solutions
    • Authors: Jan Rohac; Jakob M. Hansen; Mushfiqul Alam; Martin Sipos; Tor A. Johansen; Thor I. Fossen
      Abstract: Publication date: Available online 8 April 2017
      Source:Annual Reviews in Control
      Author(s): Jan Rohac, Jakob M. Hansen, Mushfiqul Alam, Martin Sipos, Tor A. Johansen, Thor I. Fossen
      There exist numerous navigation solutions already implemented into various navigation systems. Depending on the vehicle in which the navigation system is used, it can be distinguished in most cases among; navigation, tactical, and commercial grade categories of such systems. The core of these systems is formed by inertial sensors, i.e. accelerometers and angular rate sensors/gyros. Navigation and tactical grade systems commonly rely on fiber optic/ring laser gyros and servo/quartz accelerometers with high resolution, sensitivity, and stability. In the case of cost-effective navigation systems, for example piloted light and ultralight aircraft, usually use commercial grade sensors, where the situation differs. The sensor outputs are less stable and sensitive, and suffer from manufacturing limits leading to temperature dependency, bias instability, and misalignment which introduces non-negligible disturbances. These conditions commonly limit the applicability of the navigation solution since its stand-alone operation using free integration of accelerations and angular rates is not stable. This paper addresses a cost-effective solution with commercial grade inertial sensors, and studies the performance of different approaches to obtain navigation solution with robustness to GNSS outages. A main goal of this paper is thus comparison of a nonlinear observer and two extended Kalman filter solutions with respect to the accuracy of estimated quantities and their sensitivity to GNSS outages. The performance analyses are carried out on real flight data and evaluated during phases of the flight when the solutions are challenged by different environmental disturbances.

      PubDate: 2017-04-10T04:31:40Z
      DOI: 10.1016/j.arcontrol.2017.03.006
       
  • Traffic state estimation on highway: A comprehensive survey
    • Authors: Toru Seo; Alexandre M. Bayen; Takahiko Kusakabe; Yasuo Asakura
      Abstract: Publication date: Available online 6 April 2017
      Source:Annual Reviews in Control
      Author(s): Toru Seo, Alexandre M. Bayen, Takahiko Kusakabe, Yasuo Asakura
      Traffic state estimation (TSE) refers to the process of the inference of traffic state variables (i.e., flow, density, speed and other equivalent variables) on road segments using partially observed traffic data. It is a key component of traffic control and operations, because traffic variables are measured not everywhere due to technological and financial limitations, and their measurement is noisy. Therefore, numerous studies have proposed TSE methods relying on various approaches, traffic flow models, and input data. In this review article, we conduct a survey of highway TSE methods, a topic which has gained great attention in the recent decades. We characterize existing TSE methods based on three fundamental elements: estimation approach, traffic flow model, and input data. Estimation approach encompasses methods that estimate the traffic state, based on partial observation and a priori knowledge (assumptions) on traffic dynamics. Estimation approaches can be roughly classified into three according to their dependency on a priori knowledge and empirical data: model-driven, data-driven, and streaming-data-driven. A traffic flow model usually means a physics-based mathematical model representing traffic dynamics, with various solution methods. Input data can be characterized by using three different properties: collection method (stationary or mobile), data representation (disaggregated or aggregated), and temporal condition (real-time or historical). Based on our proposed characterization, we present the current state of TSE research and proposed future research directions. Some of the findings of this article are summarized as follows. We present model-driven approaches commonly used. We summarize the recent usage of detailed disaggregated mobile data for the purpose of TSE. The use of these models and data will raise a challenging problem due to the fact that conventional macroscopic models are not always consistent with detailed disaggregated data. Therefore, we show two possibilities in order to solve this problem: improvement of theoretical models, and the use of data-driven or streaming-data-driven approaches, which recent studies have begun to consider. Another open problem is explicit consideration of traffic demand and route-choice in a large-scale network; for this problem, emerging data sources and machine learning would be useful.

      PubDate: 2017-04-10T04:31:40Z
      DOI: 10.1016/j.arcontrol.2017.03.005
       
  • Self-optimizing control – A survey
    • Authors: Johannes Jäschke; Yi Cao; Vinay Kariwala
      Abstract: Publication date: Available online 4 April 2017
      Source:Annual Reviews in Control
      Author(s): Johannes Jäschke, Yi Cao, Vinay Kariwala
      Self-optimizing control is a strategy for selecting controlled variables. It is distinguished by the fact that an economic objective function is adopted as a selection criterion. The aim is to systematically select the controlled variables such that by controlling them at constant setpoints, the impact of uncertain and varying disturbances on the economic optimality is minimized. If a selection leads to an acceptable economic loss compared to perfectly optimal operation then the chosen control structure is referred to as “self-optimizing”. In this comprehensive survey on methods for finding self-optimizing controlled variables we summarize the progress made during the last fifteen years. In particular, we present brute-force methods, local methods based on linearization, data and regression based methods, and methods for finding nonlinear controlled variables for polynomial systems. We also discuss important related topics such as handling changing active constraints. Finally, we point out open problems and directions for future research.

      PubDate: 2017-04-10T04:31:40Z
      DOI: 10.1016/j.arcontrol.2017.03.001
       
  • Synthesis and implementation of logic controllers – A review
    • Authors: J. Zaytoon; B. Riera
      Abstract: Publication date: Available online 23 March 2017
      Source:Annual Reviews in Control
      Author(s): J. Zaytoon, B. Riera
      This paper provides an overview of some well-known formal approaches for the synthesis and implementation of logic controllers. Most of these approaches are based on the use and the adaptation/extension of the supervisory control theory of discrete-event systems. Recent contributions, based on algebraic synthesis and logic constraints are also be highlighted.

      PubDate: 2017-03-27T04:14:16Z
      DOI: 10.1016/j.arcontrol.2017.03.004
       
  • A tutorial on modeling and analysis of dynamic social networks. Part I
    • Authors: Anton V. Proskurnikov; Roberto Tempo
      Abstract: Publication date: Available online 15 March 2017
      Source:Annual Reviews in Control
      Author(s): Anton V. Proskurnikov, Roberto Tempo
      In recent years, we have observed a significant trend towards filling the gap between social network analysis and control. This trend was enabled by the introduction of new mathematical models describing dynamics of social groups, the advancement in complex networks theory and multi-agent systems, and the development of modern computational tools for big data analysis. The aim of this tutorial is to highlight a novel chapter of control theory, dealing with applications to social systems, to the attention of the broad research community. This paper is the first part of the tutorial, and it is focused on the most classical models of social dynamics and on their relations to the recent achievements in multi-agent systems.

      PubDate: 2017-03-15T03:17:27Z
      DOI: 10.1016/j.arcontrol.2017.03.002
       
  • A review on model reference adaptive control of robotic manipulators
    • Authors: Dan Zhang; Bin Wei
      Abstract: Publication date: Available online 22 February 2017
      Source:Annual Reviews in Control
      Author(s): Dan Zhang, Bin Wei
      The accuracy of the motion control for robotic mechanisms will have an effect on their overall performance. Under the condition where the robotic end-effector carries different loads, the motions for each joint of robotic mechanisms change depending on different payload masses. Conventional control systems possess the potential issue that they cannot compensate the load variation effect. Adaptive control, especially the model reference adaptive control (MRAC), has therefore been put forward to handle the above issue. Adaptive control is generally divided into three categories, model reference, self-tuning and gain-scheduled. In this study, the authors only focus on the model-reference approach. To the best of the authors’ knowledge, very few recent research articles can be found in the area of MRAC especially for robotic mechanisms since robotic system is a highly nonlinear system, and it is difficult to guarantee the stability of MRAC in such system. This study presents a review and discussion on the MRAC of robotic mechanisms and some issues of MRAC for robotic mechanisms are also demonstrated. This study can provide a guideline for upcoming research in the field of MRAC for robotic mechanisms.

      PubDate: 2017-02-22T17:13:55Z
      DOI: 10.1016/j.arcontrol.2017.02.002
       
  • Uniformly hyperbolic control theory
    • Authors: Christoph Kawan
      Abstract: Publication date: Available online 21 February 2017
      Source:Annual Reviews in Control
      Author(s): Christoph Kawan
      This paper gives a summary of a body of work at the intersection of control theory and smooth nonlinear dynamics. The main idea is to transfer the concept of uniform hyperbolicity, central to the theory of smooth dynamical systems, to control-affine systems. Combining the strength of geometric control theory and the hyperbolic theory of dynamical systems, it is possible to deduce control-theoretic results of non-local nature that reveal remarkable analogies to the classical hyperbolic theory of dynamical systems. This includes results on controllability, robustness, and practical stabilizability in a networked control framework.

      PubDate: 2017-02-22T17:13:55Z
      DOI: 10.1016/j.arcontrol.2017.02.001
       
  • On resilient control of dynamical flow networks
    • Authors: Giacomo Como
      Abstract: Publication date: Available online 19 January 2017
      Source:Annual Reviews in Control
      Author(s): Giacomo Como
      Resilience has become a key aspect in the design of contemporary infrastructure networks. This comes as a result of ever-increasing loads, limited physical capacity, and fast-growing levels of interconnectedness and complexity due to the recent technological advancements. The problem has motivated a considerable amount of research within the last few years, particularly focused on the dynamical aspects of network flows, complementing more classical static network flow optimization approaches. In this tutorial paper, a class of single-commodity first-order models of dynamical flow networks is considered. A few results recently appeared in the literature and dealing with stability and robustness of dynamical flow networks are gathered and originally presented in a unified framework. In particular, (differential) stability properties of monotone dynamical flow networks are treated in some detail, and the notion of margin of resilience is introduced as a quantitative measure of their robustness. While emphasizing methodological aspects —including structural properties, such as monotonicity, that enable tractability and scalability— over the specific applications, connections to well-established road traffic flow models are made.

      PubDate: 2017-01-21T08:36:11Z
      DOI: 10.1016/j.arcontrol.2017.01.001
       
 
 
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