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  Subjects -> COMPUTER SCIENCE (Total: 1969 journals)
    - ANIMATION AND SIMULATION (29 journals)
    - ARTIFICIAL INTELLIGENCE (97 journals)
    - AUTOMATION AND ROBOTICS (96 journals)
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    - COMPUTER SCIENCE (1147 journals)
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    - INFORMATION SYSTEMS (101 journals)
    - INTERNET (91 journals)
    - SOCIAL WEB (49 journals)
    - SOFTWARE (32 journals)
    - THEORY OF COMPUTING (8 journals)

COMPUTER SCIENCE (1147 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: 11)
Abakós     Open Access   (Followers: 3)
Academy of Information and Management Sciences Journal     Full-text available via subscription   (Followers: 67)
ACM Computing Surveys     Hybrid Journal   (Followers: 23)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 13)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 16)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 6)
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: 11)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 4)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 12)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 3)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 1)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 19)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 9)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 8)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 21)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 10)
Advanced Engineering Materials     Hybrid Journal   (Followers: 24)
Advanced Science Letters     Full-text available via subscription   (Followers: 5)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 14)
Advances in Artificial Neural Systems     Open Access   (Followers: 4)
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: 15)
Advances in Computer Science : an International Journal     Open Access   (Followers: 13)
Advances in Computing     Open Access   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 53)
Advances in Engineering Software     Hybrid Journal   (Followers: 25)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 9)
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: 16)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Remote Sensing     Open Access   (Followers: 35)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access  
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)
Air, Soil & Water Research     Open Access   (Followers: 7)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 6)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 9)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 3)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 6)
American Journal of Sensor Technology     Open Access   (Followers: 2)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 5)
Analysis in Theory and Applications     Hybrid Journal  
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 8)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 6)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
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: 2)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 13)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 1)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Computer Systems     Open Access   (Followers: 1)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 31)
Applied Medical Informatics     Open Access   (Followers: 9)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 16)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 4)
Archive of Numerical Software     Open Access  
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 5)
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  
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 3)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 8)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 7)
Basin Research     Hybrid Journal   (Followers: 3)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Bioinformatics     Hybrid Journal   (Followers: 232)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 16)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 31)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 45)
British Journal of Educational Technology     Hybrid Journal   (Followers: 118)
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: 12)
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal  
Cell Communication and Signaling     Open Access   (Followers: 1)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 15)
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: 12)
Circuits and Systems     Open Access   (Followers: 13)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
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  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 13)
Communication Methods and Measures     Hybrid Journal   (Followers: 11)
Communication Theory     Hybrid Journal   (Followers: 18)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 47)
Communications of the Association for Information Systems     Open Access   (Followers: 18)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access  
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: 9)
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  
Computational Biology and Chemistry     Hybrid Journal   (Followers: 12)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 1)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 8)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 12)
Computational Linguistics     Open Access   (Followers: 23)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 4)
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: 13)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 27)
Computer     Full-text available via subscription   (Followers: 78)
Computer Aided Surgery     Hybrid Journal   (Followers: 3)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 6)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 8)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 22)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 10)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 1)
Computer Music Journal     Hybrid Journal   (Followers: 13)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 7)
Computer Science and Engineering     Open Access   (Followers: 17)
Computer Science and Information Technology     Open Access   (Followers: 10)
Computer Science Education     Hybrid Journal   (Followers: 12)
Computer Science Journal     Open Access   (Followers: 20)
Computer Science Master Research     Open Access   (Followers: 9)
Computer Science Review     Hybrid Journal   (Followers: 10)

        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  [3031 journals]
  • 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
       
  • Decision support system for optimum decision making process in threat
           evaluation and weapon assignment: Current status, challenges and future
           directions
    • Authors: Afshan Naseem; Syed Tasweer Hussain Shah; Shoab Ahmed Khan; Asad Waqar Malik
      Abstract: Publication date: Available online 31 March 2017
      Source:Annual Reviews in Control
      Author(s): Afshan Naseem, Syed Tasweer Hussain Shah, Shoab Ahmed Khan, Asad Waqar Malik
      While advancement trends in ‘Decision Support System’ have frequently been reported in air defense literature, a gap still exists to present a holistic viewpoint for management of threat evaluation and weapon assignment (TEWA). This study reviewed 156 papers from peer reviewed journals and conference proceedings published during 1975 to 2016. The current status of TEWA indicates several challenges associated with decision support system, most notably, application of technological advancement for the better human control in critical time constraint situations. For better decision making and overcoming human limitations, the technological advancements in decision support system are promising. This paper proposes a new approach and presents a combination of decision support system and threat perception, with simultaneous evaluation, neutralization, weapon supply, inventory and assignment. In this study, we have reviewed the evolution in development of threat neutralization systems which have been attempted or developed to date. From practical perspective, the study provides a design overview of the existing methods, highlights features/merits of the approaches used in decision support system development. We have also discussed the current challenges regarding such applications and proposed a new approach for efficient and effective TEWA. The proposed approach elucidates the significance of the inclusion of new parameters identified in literature review. Some of the important features of proposed TEWA-DSS are: (1) GIS mapping of vulnerable assets/points (VA/VPs), (2) Weapon Deployment (WD) based on criticality of VA/VPs and using forecasting techniques, (3) Threat Perception (TP), and evaluation, (4) operating tactics, (5) Weapons Selection (WS) based on its supply chain and inventory management using forecasting methods and (6) optimum and cost-effective Weapon Assignment (WA). The SWOT analysis of the proposed model shows the significance of this model. Moreover, the model implementation using Simon and Turban phases of decision making processes showed that the proposed TEWA strategy is an effective and efficient tool for the identified problem of optimum decision making. This study will catch the attention of researchers working on DSS and open new horizons to bring remarkable improvement in existing system by incorporating the missing parameters.

      PubDate: 2017-04-03T04:23:00Z
      DOI: 10.1016/j.arcontrol.2017.03.003
       
  • 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
       
  • Resilience in supply networks: Definition, dimensions, and levels
    • Authors: Rodrigo Reyes Levalle; Shimon Y. Nof
      Abstract: Publication date: Available online 23 March 2017
      Source:Annual Reviews in Control
      Author(s): Rodrigo Reyes Levalle, Shimon Y. Nof
      Oftentimes, seemingly robust systems fail, almost inexplicably, due to unforeseen events leading to disruption. Exploration and research of the mechanisms behind the failure of such systems have revealed that those capable of surviving are not robust, but resilient. This has spawned a stream of research on the resilience of different complex systems, from ecosystems, to the human body, to supply chains and communication networks. Supply networks are complex adaptive systems in which a subset of agents create flow and are required to deliver such flow to sink agents located at the other end of the network. Delivery of flow under pre-defined service conditions requires resilient design and operation protocols. In this article, a supply network formalism is introduced, and the concept and dimensions of resilience in supply networks, explored. Five core components of resilience are derived from reviewed definitions; two resilience dimensions, structure and control protocols, and two resilience levels, agent and network level, are characterized based on insights from articles in literature. Finally, emerging trends in resilience research as well as current research gaps are presented and future work directions outlined.

      PubDate: 2017-03-27T04:14:16Z
      DOI: 10.1016/j.arcontrol.2017.02.003
       
  • 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
       
  • Special section on navigation, guidance and control of underwater vehicles
    • Authors: Pere Ridao; David Ribas; Pedro J. Sanz
      Abstract: Publication date: Available online 8 November 2016
      Source:Annual Reviews in Control
      Author(s): Pere Ridao, David Ribas, Pedro J. Sanz


      PubDate: 2016-11-10T22:57:44Z
      DOI: 10.1016/j.arcontrol.2016.09.017
       
  • Advanced autonomous model-based operation of industrial process systems
           (Autoprofit): Technological developments and future perspectives
    • Authors: Leyla Özkan; Xavier Bombois; Jobert H.A. Ludlage; Cristian Rojas; Håkan Hjalmarsson; Per Erik Modén; Michael Lundh; Ton C.P.M. Backx; Paul M.J. Van den Hof
      Abstract: Publication date: Available online 4 November 2016
      Source:Annual Reviews in Control
      Author(s): Leyla Özkan, Xavier Bombois, Jobert H.A. Ludlage, Cristian Rojas, Håkan Hjalmarsson, Per Erik Modén, Michael Lundh, Ton C.P.M. Backx, Paul M.J. Van den Hof
      Model-based operation support technology such as Model Predictive Control (MPC) is a proven and accepted technology for multivariable and constrained large scale control problems in process industry. Despite the growing number of successful implementations, the low level of operational efficiency of MPC is an existing problem, specifically the lack of advanced maintenance technology. To this end, within the EU FP 7 program, a project (Autoprofit 1 1 Upon its completion, the project was rated ‘Excellent’ by the EU. ) has been executed to advance the level of autonomy and automated maintenance of MPC technology. Taking linear model-based technology as a starting point, in the project a philosophy has been developed for autonomous performance monitoring, diagnosis, experiment design, model adaptation and controller re-tuning, that is driven by economic criteria in each step, working towards an operation support system in which effective maintenance and adaptation of MPC controllers becomes feasible. In this development, challenging research questions have been addressed in the areas of on-line performance monitoring and diagnosis, least costly experiment design, automated adaptation of models, and auto-tuning, and new fundamental techniques have been developed. Although a full fledge and industrially proven (semi-)automated system is not yet realised, parts of the on-line system have been implemented and validated on real life cases provided by the industrial partners, showing that the formulated objectives are within reach.

      PubDate: 2016-11-10T22:57:44Z
      DOI: 10.1016/j.arcontrol.2016.09.015
       
  • AUV terrain-aided navigation using a Doppler velocity logger
    • Authors: Francisco Curado Teixeira; João Quintas; António Pascoal
      Abstract: Publication date: Available online 4 November 2016
      Source:Annual Reviews in Control
      Author(s): Francisco Curado Teixeira, João Quintas, António Pascoal
      This paper addresses the design and implementation of terrain-aided navigation (TAN) methods for small autonomous underwater vehicles (AUVs) that rely on standard navigation sensors and dispense with the need for dedicated sensors for terrain data acquisition. The research described focuses on the problem of TAN implementation in underwater scenarios characterized by smooth sea-bottom topography and very shallow water, where the terrain information available for navigation is scarce. The navigation algorithms and the data fusion methods whose tests are documented in the paper build upon and expand prior theoretical work published by the authors; the TAN solutions adopted exploit the terrain information and the navigation data acquired with an inexpensive Doppler velocity logger (DVL) and a standard motion reference unit, respectively. The position estimation methods analyzed include a bi-dimensional particle filter (PF) and a four-dimensional Rao-Blackwellized PF that was designed to estimate the unknown Doppler velocity measurement biases responsible for the unbound localization errors typically observed in dead-recknoning navigation. The positioning accuracy achieved with these filters is compared with the output of a novel method, also proposed in the paper, that mechanizes a complementary-like filter designed to fuse the output of a TAN estimator with the velocity measurements provided by a DVL. Experimental results obtained during field tests with an autonomous marine vehicle are reported and analyzed.

      PubDate: 2016-11-10T22:57:44Z
      DOI: 10.1016/j.arcontrol.2016.10.002
       
  • Emerging research topics in control for smart infrastructures
    • Authors: Anuradha M. Annaswamy; Ahmad R. Malekpour; Stefanos Baros
      Abstract: Publication date: Available online 31 October 2016
      Source:Annual Reviews in Control
      Author(s): Anuradha M. Annaswamy, Ahmad R. Malekpour, Stefanos Baros
      As we move deeper into the 21st century, critical infrastructures related to energy and transportation are becoming smart–monitor themselves, communicate, and most importantly self-govern. Various drivers have enabled this transition, including sustainability concerns, scarcity in resources, economic considerations, and rapid growth in enabling technologies of sensor networks, and computational and communication systems. Two notable examples of such infrastructures are smart grids and smart cities. The idea behind a Smart grid is the creation of a dynamic, cyber-physical infrastructure that meets the challenges of intermittency and distributed availability of renewables, and realizes reduced operational costs and emissions, via a flexible, intelligent, and networked grid that plans, controls, and balances supply and demand over an entire region. The concept of a Smart City is gaining popular attention driven by goals of sustainability and efficiency, the needs of enhancing quality of life and affordability, growing urbanization of the world’s population, and the explosion of technological advances in communication and computation. While systems and control problems abound in any complex dynamic system, two characteristics that are specific to critical infrastructures are the need to deliver reliable service and the ability to accomplish this goal amidst constrained resources. These in turn lead to new research topics in systems and control including empowered consumers, transactive control, and resilience. The focus of this paper is on these emerging topics. Their role in smart infrastructures, the opportunities they provide, and the research challenges that they bring in are all discussed. Specific illustrations of recent successes are presented that are based on coordinated adjustment of generation and consumption using concepts of multi-agents and multi-timescales in smart grids and socio-technical models of empowered drivers in smart cities.

      PubDate: 2016-11-03T22:23:37Z
      DOI: 10.1016/j.arcontrol.2016.10.001
       
  • Earth climate identification vs. anthropic global warming attribution
    • Authors: Philippe de Larminat
      Abstract: Publication date: Available online 25 October 2016
      Source:Annual Reviews in Control
      Author(s): Philippe de Larminat
      Based on numerical models and climate observations over past centuries, the Intergovernmental Panel on Climate Change (IPCC) attributes to human activity most of the warming observed since the mid-20th century. In this context, this paper presents the first major attempt for climate system identification – in the sense of the systems theory – in the hope to significantly reduce the uncertainty ranges. Actually, climatic data being what they are, the identified models only partially fulfill this expectation. Nevertheless, despite the dispersion of the identified parameters and of the induced simulations, one can draw robust conclusions which turn out to be incompatible with those of the IPCC: the natural contributions (solar activity and internal variability) could in fact be predominant in the recent warming. We then confront our work with the approach favored by IPCC, namely the “detection and attribution related to anthropic climate change”. We explain the differences first by the exclusion by IPCC of the millennial paleoclimatic data, secondly by an obvious confusion between cause and effect, when the El Niño index is involved in detection and attribution.

      PubDate: 2016-10-28T21:52:44Z
      DOI: 10.1016/j.arcontrol.2016.09.018
       
  • Selected methods of control of the scanning and tracking gyroscope system
           mounted on a combat vehicle
    • Authors: Izabela Krzysztofik; Jakub Takosoglu; Zbigniew Koruba
      Abstract: Publication date: Available online 25 October 2016
      Source:Annual Reviews in Control
      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: 2016-10-28T21:52:44Z
      DOI: 10.1016/j.arcontrol.2016.10.003
       
  • Reinforcement learning based computational adaptive optimal control and
           system identification for linear systems
    • Authors: Kamesh Subbarao; Pavan Nuthi; Ghassan Atmeh
      Abstract: Publication date: Available online 14 October 2016
      Source:Annual Reviews in Control
      Author(s): Kamesh Subbarao, Pavan Nuthi, Ghassan Atmeh
      The duality of estimation and control problems is a well known fact in control theory literature. Simultaneous parameter estimation while maintaining closed loop stability is a very difficult proposition and more so for unstable systems, even for linear systems. This typically motivates system identification to be performed only in offline experiments. Clearly, there is a need for a higher level abstraction for a control and identification scheme which acts in stages and prioritizes various aspects of the problem at each of these stages. The stage abstraction for the controller design in this paper is inspired by human intuition towards dealing with control and identification simultaneously and hence named “Intuitive Control Framework”. The first phase prioritizes stabilization of the system only. The controller moves onto the next phase after the unknown system is stabilized. The subsequent stages during this phase involve optimization with different performance metrics through adaptive learning. After enough information for identification is acquired, the control schemes developed for various optimal metrics are used to estimate the unknown parameters in the final phase. This narrative for selective prioritization of objectives and a higher level abstraction for control schemes is illustrated for a continuous linear time invariant state space realization with state feedback. Numerous real-world applications can benefit from this online system identification routine inspired by the human cognitive process. This offers a seamless integration of control and identification with a higher level of priorities. Such a framework is presented with explicit formulations for certain classes of dynamic systems, and evaluated with computer simulations as well as experimental results. An unstable multi-input multi-output linear system is used as an example to illustrate the approach.

      PubDate: 2016-10-16T14:35:51Z
      DOI: 10.1016/j.arcontrol.2016.09.021
       
  • Estimation and Identification of Spatio-Temporal Models with Applications
           in Engineering, Healthcare and Social Science
    • Authors: Julian Mercieca; Visakan Kadirkamanathan
      Abstract: Publication date: Available online 13 October 2016
      Source:Annual Reviews in Control
      Author(s): Julian Mercieca, Visakan Kadirkamanathan
      Several natural phenomena are known to exhibit a spatio-temporal evolution process. The study of such processes, which is pivotal to our understanding of how best to predict and control spatio-temporal systems, has motivated researchers to develop appropriate tools that infer models and their parameters from observed data. This paper reviews this active area of research by providing an insight into the fundamental ideas spanning the development of spatio-temporal models, dimensionality reduction methods and techniques for state and parameter estimation. Recent advances are discussed in the context of novel spatio-temporal approaches proposed for applications in three specific domains – engineering, healthcare and social science. They illustrate the wide applicability of estimation and identification of spatio-temporal processes as novel advances in sensor systems and data collection are used to observe them.

      PubDate: 2016-10-16T14:35:51Z
      DOI: 10.1016/j.arcontrol.2016.09.011
       
  • Special Section on Advances in Control and Optimization of Dynamical
           Systems
    • Authors: Prakash Jagadeesan
      Abstract: Publication date: Available online 7 October 2016
      Source:Annual Reviews in Control
      Author(s): Prakash Jagadeesan


      PubDate: 2016-10-10T14:20:26Z
      DOI: 10.1016/j.arcontrol.2016.09.020
       
  • A review on two-link flexible manipulators
    • Authors: K. Lochan; B.K. Roy; B. Subudhi
      Abstract: Publication date: Available online 5 October 2016
      Source:Annual Reviews in Control
      Author(s): K. Lochan, B.K. Roy, B. Subudhi
      This paper presents a survey in the field of two-link flexible manipulators (TLFMs). Two-link flexible manipulators are more used in comparison with other types of flexible manipulators. Therefore, this paper discusses various aspects of the reported works of TLFMs available in the literature. The papers based on TLFMs are classified into modeling methods, dynamical analyses, complexities involved and control schemes used. The modeling methods discuss the various types of modeling used for a TLFM. A brief note on the complexities involved in the flexible manipulators are presented. The main categories of the control problems addressed by the available papers are also discussed. The classification of the control techniques is made according to the nature of controllers. It is also mentioned in the paper as to whether the reported work deals with only simulation based results or are validated with the experimental work.

      PubDate: 2016-10-10T14:20:26Z
      DOI: 10.1016/j.arcontrol.2016.09.019
       
  • Tutorial review on repetitive control with anti-windup mechanisms
    • Authors: Liuping Wang
      Abstract: Publication date: Available online 5 October 2016
      Source:Annual Reviews in Control
      Author(s): Liuping Wang
      In many control system applications, tracking a periodic reference signal or rejecting a disturbance signal with a limited frequency band is a necessary task. Repetitive control systems are designed to perform such tasks. Because the repetitive control systems by nature have introduced unstable controller structures, control signal amplitude constraints commonly encountered in control system applications need to be considered with special care. Otherwise, the repetitive control system could become unstable when the control signals became saturated. Using the same framework of Model Predictive Control (MPC), but without the cost of online optimization that usually occurs in the MPC algorithms, this paper shows the design and implementation procedures of repetitive control of multi-input and multi-output systems with anti-windup mechanisms. Furthermore, by using Fourier analysis of a reference signal or a disturbance signal, the structure of a repetitive control system is determined. Simple and complex simulation examples are used to illustrate the procedures of design and implementation.

      PubDate: 2016-10-10T14:20:26Z
      DOI: 10.1016/j.arcontrol.2016.09.016
       
  • Reflections on a decade of autonomous underwater vehicles operations for
           marine survey at the Australian Centre for Field Robotics
    • Authors: Stefan B. Williams; Oscar Pizarro; Daniel M. Steinberg; Ariell Friedman; Mitch Bryson
      Abstract: Publication date: Available online 5 October 2016
      Source:Annual Reviews in Control
      Author(s): Stefan B. Williams, Oscar Pizarro, Daniel M. Steinberg, Ariell Friedman, Mitch Bryson
      This paper describes insights gained from a decade of autonomous marine systems development at the University of Sydney’s Australian Centre for Marine Robotics. Over the course of this time, we have deployed numerous vehicles and imaging platforms in support of applications in engineering science, marine ecology, archaeology and geoscience. We have operated an Australia-wide benthic observing program designed to deliver precisely navigated, repeat imagery of the seafloor. This initiative makes extensive use of Autonomous Underwater Vehicles (AUVs) to collect high-resolution stereo imagery, multibeam sonar and water column measurements on an annual or semi-annual basis at sites around Australia, spanning the full latitudinal range of the continent from tropical reefs in the north to temperate regions in the south. We have also contributed to expeditions to document coral bleaching, cyclone recovery, submerged neolithic settlement sites, ancient shipwrecks, methane seeps and deepwater hydrothermal vents. We briefly consider how automated tools for working with this imagery have facilitated the resulting science outcomes.

      PubDate: 2016-10-10T14:20:26Z
      DOI: 10.1016/j.arcontrol.2016.09.010
       
  • From static output feedback to structured robust static output feedback: A
           survey
    • Authors: Mahdieh S. Sadabadi; Dimitri Peaucelle
      Abstract: Publication date: Available online 4 October 2016
      Source:Annual Reviews in Control
      Author(s): Mahdieh S. Sadabadi, Dimitri Peaucelle
      This paper reviews the vast literature on static output feedback design for linear time-invariant systems including classical results and recent developments. In particular, we focus on static output feedback synthesis with performance specifications, structured static output feedback, and robustness. The paper provides a comprehensive review on existing design approaches including iterative linear matrix inequalities heuristics, linear matrix inequalities with rank constraints, methods with decoupled Lyapunov matrices, and non-Lyapunov-based approaches. We describe the main difficulties of dealing with static output feedback design and summarize the main features, advantages, and limitations of existing design methods.

      PubDate: 2016-10-10T14:20:26Z
      DOI: 10.1016/j.arcontrol.2016.09.014
       
  • Dynamics and control technologies in air traffic management
    • Authors: P.K. Menon; S.G. Park
      Abstract: Publication date: Available online 29 September 2016
      Source:Annual Reviews in Control
      Author(s): P.K. Menon, S.G. Park
      Dynamics and Control technologies play a central role in the development and operation of decision support systems of modern air traffic management systems. Recent emergence of Global Navigation Satellite Systems and satellite-based augmentation systems have enabled higher precision execution of aircraft trajectories, opening-up the potential for the implementing more quantitative air traffic management approaches. Already, this navigation capability is enabling higher traffic through puts, and safer operation of aircraft in the proximity of the terrain at several major airports in the US. This paper discusses the aircraft trajectory optimization, conflict resolution algorithms, and traffic flow management problems which form the essential components of the evolving air traffic management system. It will be shown that Optimal Control Theory, Model Predictive Control and the Discrete Event Systems theory form the underlying analytical machinery in this domain. Finally, the paper will outline some of the algorithms for realizing the Trajectory Based Operations concept, currently being developed for future air traffic management.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.012
       
  • Towards integrated autonomous underwater operations for ocean mapping and
           monitoring
    • Authors: Martin Ludvigsen; Asgeir J. Sørensen
      Abstract: Publication date: Available online 23 September 2016
      Source:Annual Reviews in Control
      Author(s): Martin Ludvigsen, Asgeir J. Sørensen
      The NTNU Centre for Autonomous Marine Operations and Systems (NTNU AMOS) is as a ten-year research program, 2013-2022, addressing research challenges related to autonomous marine operations and systems applied in e.g. maritime transportation, oil and gas exploration and exploitation, fisheries and aquaculture, oceans science, offshore renewable energy and marine mining. Fundamental knowledge is created through multidisciplinary theoretical, numerical and experimental research within the knowledge fields of hydrodynamics, structural mechanics, guidance, navigation, control and optimization. This paper gives an overview of the research at NTNU AMOS related to mapping and monitoring of the seabed and the oceans. Associated definition and requirements related to autonomy are also addressed. Results and experience from selected field trials carried out in the Norwegian coastal and Arctic waters will be presented. Integrating different sensors and sensors platforms such as Autonomous Underwater Vehicles (AUV), Remotely Operated Vehicles (ROVs), and ship-based systems will be shown.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.013
       
  • Industrial energy systems in view of energy efficiency and operation
           control
    • Authors: Xiaohua Xia; Lijun Zhang
      Abstract: Publication date: Available online 20 September 2016
      Source:Annual Reviews in Control
      Author(s): Xiaohua Xia, Lijun Zhang
      Energy efficiency improvement of industrial systems through the application of demand side management (DSM) techniques is discussed. In particular, a unified classification of efficiency of energy systems, namely performance efficiency, operation efficiency, equipment efficiency and technology efficiency (POET), is reviewed and further discussed to facilitate effective use of DSM methods in a selection of energy-intensive industrial processes. The operational level efficiency improvement is then focused on and the corresponding modelling and control by model predictive control (MPC) approach are presented. The modelling process is generalised to cater for a number of industrial processes. Robustness and convergence of MPC method when applied to periodic industrial processes are elaborated. The relationship between control and the POET is outlined thereafter to link the two such that one can make use of the POET concept to guide the controller design. Finally, case studies are provided to demonstrate the effectiveness of the approaches presented.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.009
       
  • Negative imaginary systems theory and applications
    • Authors: Ian R. Petersen
      Abstract: Publication date: Available online 19 September 2016
      Source:Annual Reviews in Control
      Author(s): Ian R. Petersen
      This paper presents a survey of some of the main results in the theory of negative imaginary systems. The paper also presents some applications of negative imaginary systems theory in the design of robust controllers. In particular, the paper concentrates on the application of negative imaginary systems theory in the area of control of atomic force microscopes.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.006
       
  • Sum of gaussian single beacon range-only localization for AUV homing
    • Authors: Guillem Vallicrosa; Pere Ridao
      Abstract: Publication date: Available online 16 September 2016
      Source:Annual Reviews in Control
      Author(s): Guillem Vallicrosa, Pere Ridao
      Range-only measurements are extensively used in many Autonomous Underwater Vehicle (AUV) applications. These measurements do not depend on water quality and can be taken from long distances. This paper proposes two methods based on the Sum of Gaussian (SoG) filter, to solve the range-only localization problem for homing. The use of the SoG allows us to combine the benefits of both a Particle Filter (PF) and an Extended Kalman Filter (EKF) approach in a single filter. An Active Localization (AL) method is applied to the SoG to autonomously choose the best waypoints for autonomous convergence. Both the SoG filter and the AL are tested in a real scenario with an Intervention Autonomous Underwater Vehicle (I-AUV) and compared with a vision-based method to confirm localization.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.007
       
  • Bridging data-driven and model-based approaches for process fault
           diagnosis and health monitoring: A review of researches and future
           challenges
    • Authors: Khaoula Tidriri; Nizar Chatti; Sylvain Verron; Teodor Tiplica
      Abstract: Publication date: Available online 16 September 2016
      Source:Annual Reviews in Control
      Author(s): Khaoula Tidriri, Nizar Chatti, Sylvain Verron, Teodor Tiplica
      Fault Diagnosis and Health Monitoring (FD-HM) for modern control systems have been an active area of research over the last few years. Model-based FD-HM computational approaches have been extensively developed to detect and locate faults by considering logical or mathematical description of the monitored process. However, because of parametric, measurement and model uncertainties, applicable approaches that endeavor to locate faults with great accuracy are likely to give false alarms. Recently, many research works have been conducted in order to tackle this issue by making a tradeoff between accuracy and robustness during the fault detection phase. Due to the recent advances in sensor technology, computational capabilities and dedicated software/hardware interfaces, data-driven FD-HM approaches have demonstrated that highly accurate fault detection is possible when the system monitoring data for nominal and degraded conditions are available. Therefore, it seems that more than one approach is usually required for developing a complete robust fault detection and diagnosis tool. In this paper, the features of different model-based and data-driven approaches are investigated separately as well as the existing works that attempted to integrate both of them. In this latter context, there have been only few works published in the literature and hence reviewing and discussing them is strongly motivated by providing a good reference for those interested in developing hybrid approaches for FD-HM.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.008
       
  • Special section on fault detection, supervision and safety for technical
           processes
    • Authors: Didier Maquin
      Abstract: Publication date: Available online 14 September 2016
      Source:Annual Reviews in Control
      Author(s): Didier Maquin


      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.004
       
  • Perspectives on process monitoring of industrial systems
    • Authors: Kristen Severson; Paphonwit Chaiwatanodom; Richard D. Braatz
      Abstract: Publication date: Available online 13 September 2016
      Source:Annual Reviews in Control
      Author(s): Kristen Severson, Paphonwit Chaiwatanodom, Richard D. Braatz
      Process monitoring systems are necessary for ensuring the long-term reliability of the operation of industrial systems. This article provides some perspectives on progress in the design of process monitoring systems over the last twenty years. Methods for each step of the process monitoring loop are summarized. The challenges in the field and opportunities for future research are discussed. When looking into the future, it is argued that advances are likely to come from combining different methods to exploit the strengths of various techniques while minimizing their weaknesses.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.001
       
  • Predictive control approaches for bilateral teleoperation
    • Authors: Riaz Uddin; Jeha Ryu
      Abstract: Publication date: Available online 13 September 2016
      Source:Annual Reviews in Control
      Author(s): Riaz Uddin, Jeha Ryu
      Performance and stability are both affected due to time delay in bilateral teleoperation. Recent researches have reported the effectiveness of applying predictive control approaches to cope with the time delay effect which improve both stability and transparency. In this regard, this article aims to provide a systematic review of the predictive control approaches in bilateral teleoperation. The survey also tries to compare and assess the main features and properties of the predictive control schemes as much as possible. The survey elaborates initially the most common schemes and then qualitative and quantitative comparisons along with discussions are made with respect to stability, transparency, and robustness.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.003
       
  • Tutorial on dynamic analysis of the Costas loop
    • Authors: R.E. Best; N.V. Kuznetsov; G.A. Leonov; M.V. Yuldashev; R.V. Yuldashev
      Abstract: Publication date: Available online 12 September 2016
      Source:Annual Reviews in Control
      Author(s): R.E. Best, N.V. Kuznetsov, G.A. Leonov, M.V. Yuldashev, R.V. Yuldashev
      Costas loop is a classical phase-locked loop (PLL) based circuit for carrier recovery and signal demodulation. The PLL is an automatic control system that adjusts the phase of a local signal to match the phase of the input reference signal. This tutorial is devoted to the dynamic analysis of the Costas loop. In particular the acquisition process is analyzed. Acquisition is most conveniently described by a number of frequency and time parameters such as lock-in range, lock-in time, pull-in range, pull-in time, and hold-in range. While for the classical PLL equations all these parameters have been derived (many of them are approximations, some even crude approximations), this has not yet been carried out for the Costas loop. It is the aim of this analysis to close this gap. The paper starts with an overview on mathematical and physical models (exact and simplified) of the different variants of the Costas loop. Then equations for the above mentioned key parameters are derived. Finally, the lock-in range of the Costas loop for the case where a lead-lag filter is used for the loop filter is analyzed.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.08.003
       
  • Diagnostic & health management of fuel cell systems: Issues and
           solutions
    • Authors: D. Hissel; M.C. Pera
      Abstract: Publication date: Available online 10 September 2016
      Source:Annual Reviews in Control
      Author(s): D. Hissel, M.C. Pera
      Continuous depletion of the crude oil and gradual increase in the oil price have emphasized the need of a suitable alternative to our century-old oil-based economy. A clean and efficient power supply device based on a renewable energy source has to be available to face this issue. Among the different technological alternatives, fuel cell power generation becomes a more and more interesting and promising solution for both automotive industry and stationary power plants. However, many technological hurdles have still to be overcome before seeing the development of industrial and competitive products in these fields. Among them, one of the major issues to be solved is their insufficient reliability and durability for stationary and transport applications. To reach this aim, efficient diagnostic and state-of-health estimation methodologies should be available, able also to operate real-time and with limited number of additional physical sensors. This paper describes the state-of-the-art and the motivations regarding these research issues. It presents also selected recent developments and experimentations in this area.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.005
       
  • A control oriented guided tour in oilwell drilling vibration modeling
    • Authors: B. Saldivar; S. Mondié; S.-I. Niculescu; H. Mounier; I. Boussaada
      Abstract: Publication date: Available online 6 September 2016
      Source:Annual Reviews in Control
      Author(s): B. Saldivar, S. Mondié, S.-I. Niculescu, H. Mounier, I. Boussaada
      In drilling operations, the interaction of the drillstring with the borehole leads to vibrations affecting the performance and increasing the drilling cost. The development of controllers to get a faster and efficient drilling operation is based on a mathematical modeling allowing a proper system characterization and the identification of the vibration sources to avoid them or mitigate their influence. This paper presents an overview of the modeling of axial and torsional self-excited drilling vibrations.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.09.002
       
  • Virtual and remote labs in control education: A survey
    • Authors: Ruben Heradio; Luis de la Torre; Sebastian Dormido
      Abstract: Publication date: Available online 25 August 2016
      Source:Annual Reviews in Control
      Author(s): Ruben Heradio, Luis de la Torre, Sebastian Dormido
      Virtual and remote labs have been around for almost twenty years and while they have been constantly gaining popularity since their appearance, there are still many people in the control education community who either do not know many details about them or do not know them at all. What are their benefits? Which examples of virtual and remote labs for control education can be found in the Internet and how spread and popular are they? What are the current trends and issues in the implementation and deployment of these tools? And the future ones? These and others are some of the questions we answer in this paper, trying to bring the attention of the control education community to these tools which, we believe, are meant to have an increasing importance and relevance for the 21st century students.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.08.001
       
  • Fault detection, isolation and quantification from Gaussian residuals with
           application to structural damage diagnosis
    • Authors: Michael Döhler; Laurent Mevel; Qinghua Zhang
      Abstract: Publication date: Available online 25 August 2016
      Source:Annual Reviews in Control
      Author(s): Michael Döhler, Laurent Mevel, Qinghua Zhang
      Despite the general acknowledgment in the Fault Detection and Isolation (FDI) literature that FDI are typically accomplished in two steps, namely residual generation and residual evaluation, the second step is by far less studied than the first one. This paper investigates the residual evaluation method based on the local approach to change detection and on statistical tests. The local approach has the remarkable ability of transforming quite general residuals with unknown or non Gaussian probability distributions into a standard Gaussian framework, thanks to a central limit theorem. In this paper, the ability of the local approach for fault quantification will be exhibited, whereas previously it was only presented for fault detection and isolation. The numerical computation of statistical tests in the Gaussian framework will also be revisited to improve numerical efficiency. An example of vibration-based structural damage diagnosis will be presented to motivate the study and to illustrate the performance of the proposed method.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.08.002
       
  • An Extended Zonotopic and Gaussian Kalman Filter (EZGKF) merging
           set-membership and stochastic paradigms: Toward non-linear filtering and
           fault detection
    • Authors: Christophe Combastel
      Abstract: Publication date: Available online 16 August 2016
      Source:Annual Reviews in Control
      Author(s): Christophe Combastel
      A framework merging the set-membership and the stochastic paradigms is formalized and used to design an Extended Zonotopic and Gaussian Kalman Filter (EZGKF) dealing with the robust state estimation and the fault detection of uncertain discrete-time nonlinear systems. The so-called Set-membership and Gaussian Mergers (SGM) are introduced and particularized to Zonotopes (ZGM). They provide a constructive and computationally efficient solution to propagate random uncertainties with incompletely specified probability distributions combining set-based support enclosures and upper covariance matrix bounds formalized as matrix inequalities. Based on a full time-varying LPV enclosure featuring structured state matrix uncertainties, and given some confidence level expressed in probabilistic terms (maximal false alarm rate), a detection test is developed and shown to merge the usually mutually exclusive benefits granted by set-membership techniques (robustness to the worst-case within specified bounds, domain computations) and stochastic approaches (taking noise distribution into account, probabilistic evaluation of tests). A numerical example illustrates the state estimation capabilities of EZGKF and the improved tradeoff between the sensitivity to faults and the robustness to disturbances/noises.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.07.002
       
  • A longitudinal flight control law to accommodate sensor loss in the
           RECONFIGURE benchmark
    • Authors: J.M. Maciejowski; E.N. Hartley; K. Siaulys
      Abstract: Publication date: Available online 13 August 2016
      Source:Annual Reviews in Control
      Author(s): J.M. Maciejowski, E.N. Hartley, K. Siaulys
      The feedback gains in state-of-the-art flight control laws for commercial aircraft are scheduled as a function of values such as airspeed, mass, and centre of gravity (CoG). If measurements or estimates of these are lost due to multiple simultaneous sensor failures, the pilot must revert to an alternative control law, or, in the ultimate case, directly command control surface positions. This work develops a robust backup load-factor tracking control law, that does not depend on these parameters, based on application of theory from robust MPC and H 2 optimal control. Firstly, the methods are applied with loss only of airdata, and subsequently also with loss of mass and CoG estimates. Local linear analysis indicates satisfactory performance over a wide range of operating points. To keep the aircraft within an acceptable operating region, an outer protection loop is implemented using an override approach, based on ground speed, a model of the trim angle of attack and variation of load factor with respect to angle of attack, and a priori bounds on the wind speed. Finally, the resulting control laws are demonstrated on the nonlinear RECONFIGURE benchmark, which is derived from an Airbus high fidelity, industrially-validated simulator.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.07.001
       
  • Practical design considerations for successful industrial application of
           model-based fault detection techniques to aircraft systems
    • Authors: A. Zolghadri; J. Cieslak; D. Efimov; P. Goupil; R. Dayre
      Abstract: Publication date: Available online 4 August 2016
      Source:Annual Reviews in Control
      Author(s): A. Zolghadri, J. Cieslak, D. Efimov, P. Goupil, R. Dayre
      This paper discusses some key factors which may arise for successful application of model-based Fault Detection (FD) techniques to aircraft systems. The paper reports on the results and the lessons learned during flight V&V (Validation & Verification) activities, implementation in the A380 Flight Control Computer (FCC) and A380 flight tests at Airbus (Toulouse, France). The paper does not focus on new theoretical materials, but rather on a number of practical design considerations to provide viable technological solutions and mechanization schemes. The selected case studies are taken from past and on-going research actions between Airbus and the University of Bordeaux (France). One of the presented solutions has received final certification on new generation Airbus A350 aircraft and is flying (first commercial flight: January 15, 2015).

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.07.003
       
  • Review of two-phase flow models for control and estimation
    • Authors: Ulf Jakob F. Aarsnes; Tore Flåtten; Ole Morten Aamo
      Abstract: Publication date: Available online 5 July 2016
      Source:Annual Reviews in Control
      Author(s): Ulf Jakob F. Aarsnes, Tore Flåtten, Ole Morten Aamo
      Most model-based control and estimation techniques put limitations on the structure and complexity of the models to which they are applied. This has motivated the development of simplified models of gas-liquid two-phase flow for control and estimation applications. This paper reviews the literature for such models with a focus on applications from the field of drilling. The models are categorized in terms of complexity and the physical interpretation of the simplifications employed. A simulation study is used to evaluate their ability to qualitatively represent dynamics of 3 different gas-liquid scenarios encountered in drilling, based on which conclusions are drawn.

      PubDate: 2016-10-04T12:30:07Z
      DOI: 10.1016/j.arcontrol.2016.06.001
       
 
 
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