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  Subjects -> COMPUTER SCIENCE (Total: 1985 journals)
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    - COMPUTER SCIENCE (1153 journals)
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    - INTERNET (92 journals)
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    - THEORY OF COMPUTING (8 journals)

COMPUTER SCIENCE (1153 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: 12)
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: 20)
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: 11)
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: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 26)
Advanced Science Letters     Full-text available via subscription   (Followers: 7)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 15)
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: 10)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 25)
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: 37)
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: 10)
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: 14)
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: 32)
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)
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 4)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 123)
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: 9)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Basin Research     Hybrid Journal   (Followers: 4)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Bioinformatics     Hybrid Journal   (Followers: 293)
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: 17)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 32)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 45)
British Journal of Educational Technology     Hybrid Journal   (Followers: 119)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 2)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 13)
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)
CERN IdeaSquare Journal of Experimental Innovation     Open Access  
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: 16)
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: 19)
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: 53)
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   (Followers: 1)
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: 13)
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: 28)
Computer     Full-text available via subscription   (Followers: 83)
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: 7)
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: 14)
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: 11)
Computer Science Education     Hybrid Journal   (Followers: 12)
Computer Science Journal     Open Access   (Followers: 20)

        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  [3042 journals]
  • 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
       
  • 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
       
 
 
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