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  Subjects -> ELECTRONICS (Total: 175 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Acta Electronica Malaysia     Open Access  
Advances in Biosensors and Bioelectronics     Open Access   (Followers: 7)
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 5)
Advances in Electronics     Open Access   (Followers: 76)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Microelectronic Engineering     Open Access   (Followers: 13)
Advances in Power Electronics     Open Access   (Followers: 33)
Advancing Microelectronics     Hybrid Journal  
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 305)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 24)
Annals of Telecommunications     Hybrid Journal   (Followers: 9)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 9)
Archives of Electrical Engineering     Open Access   (Followers: 13)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 28)
Bioelectronics in Medicine     Hybrid Journal  
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
BULLETIN of National Technical University of Ukraine. Series RADIOTECHNIQUE. RADIOAPPARATUS BUILDING     Open Access   (Followers: 1)
Bulletin of the Polish Academy of Sciences : Technical Sciences     Open Access   (Followers: 1)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 44)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Electronics     Hybrid Journal  
Circuits and Systems     Open Access   (Followers: 15)
Consumer Electronics Times     Open Access   (Followers: 5)
Control Systems     Hybrid Journal   (Followers: 253)
Edu Elektrika Journal     Open Access   (Followers: 1)
Electrica     Open Access  
Electronic Design     Partially Free   (Followers: 104)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 85)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 91)
Electronics Letters     Hybrid Journal   (Followers: 26)
Elkha : Jurnal Teknik Elektro     Open Access  
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 50)
Energy Harvesting and Systems     Hybrid Journal   (Followers: 4)
Energy Storage Materials     Full-text available via subscription   (Followers: 2)
EPJ Quantum Technology     Open Access  
EURASIP Journal on Embedded Systems     Open Access   (Followers: 11)
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and Trends® in Signal Processing     Full-text available via subscription   (Followers: 10)
Frequenz     Hybrid Journal   (Followers: 1)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 1)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 185)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IACR Transactions on Symmetric Cryptology     Open Access  
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 96)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 77)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 46)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 9)
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits     Hybrid Journal   (Followers: 1)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 65)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 69)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 55)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 19)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 39)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 19)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 26)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 70)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 11)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 5)
IET Cyber-Physical Systems : Theory & Applications     Open Access   (Followers: 1)
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 35)
IET Nanodielectrics     Open Access  
IET Power Electronics     Hybrid Journal   (Followers: 45)
IET Smart Grid     Open Access  
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 18)
IETE Journal of Education     Open Access   (Followers: 4)
IETE Journal of Research     Open Access   (Followers: 11)
IETE Technical Review     Open Access   (Followers: 13)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 57)
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 24)
Informatik-Spektrum     Hybrid Journal   (Followers: 2)
Instabilities in Silicon Devices     Full-text available via subscription   (Followers: 1)
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 12)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 18)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 10)
International Journal of Antennas and Propagation     Open Access   (Followers: 11)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 5)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 6)
International Journal of Control     Hybrid Journal   (Followers: 12)
International Journal of Electronics     Hybrid Journal   (Followers: 7)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 13)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 2)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 14)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 8)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 12)
International Journal of Nanoscience     Hybrid Journal   (Followers: 1)
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 4)
International Journal of Power Electronics     Hybrid Journal   (Followers: 24)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 4)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 10)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 4)
International Journal of Wireless and Microwave Technologies     Open Access   (Followers: 6)
International Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
JAREE (Journal on Advanced Research in Electrical Engineering)     Open Access  
Journal of Biosensors & Bioelectronics     Open Access   (Followers: 3)
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 10)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 4)
Journal of Computational Intelligence and Electronic Systems     Full-text available via subscription   (Followers: 1)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 23)
Journal of Electrical Bioimpedance     Open Access   (Followers: 2)
Journal of Electrical Engineering & Electronic Technology     Hybrid Journal   (Followers: 7)
Journal of Electrical, Electronics and Informatics     Open Access  
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 7)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 8)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 6)
Journal of Electronics (China)     Hybrid Journal   (Followers: 4)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Journal of Field Robotics     Hybrid Journal   (Followers: 2)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 162)
Journal of Information and Telecommunication     Open Access   (Followers: 1)
Journal of Intelligent Procedures in Electrical Technology     Open Access   (Followers: 3)
Journal of Low Power Electronics     Full-text available via subscription   (Followers: 7)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 9)
Journal of Microelectronics and Electronic Packaging     Hybrid Journal  
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal  
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 10)
Journal of Nuclear Cardiology     Hybrid Journal  
Journal of Optoelectronics Engineering     Open Access   (Followers: 4)
Journal of Physics B: Atomic, Molecular and Optical Physics     Hybrid Journal   (Followers: 28)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 11)
Journal of Semiconductors     Full-text available via subscription   (Followers: 5)
Journal of Sensors     Open Access   (Followers: 26)
Journal of Signal and Information Processing     Open Access   (Followers: 9)
Jurnal Rekayasa Elektrika     Open Access  
Jurnal Teknik Elektro     Open Access  
Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control     Open Access  
Learning Technologies, IEEE Transactions on     Hybrid Journal   (Followers: 12)
Magnetics Letters, IEEE     Hybrid Journal   (Followers: 7)
Majalah Ilmiah Teknologi Elektro : Journal of Electrical Technology     Open Access   (Followers: 2)
Metrology and Measurement Systems     Open Access   (Followers: 5)
Microelectronics and Solid State Electronics     Open Access   (Followers: 18)
Nanotechnology Magazine, IEEE     Full-text available via subscription   (Followers: 33)
Nanotechnology, Science and Applications     Open Access   (Followers: 6)
Nature Electronics     Hybrid Journal  
Networks: an International Journal     Hybrid Journal   (Followers: 6)
Open Journal of Antennas and Propagation     Open Access   (Followers: 8)
Optical Communications and Networking, IEEE/OSA Journal of     Full-text available via subscription   (Followers: 15)
Paladyn. Journal of Behavioral Robotics     Open Access   (Followers: 1)
Power Electronics and Drives     Open Access   (Followers: 1)
Problemy Peredachi Informatsii     Full-text available via subscription  
Progress in Quantum Electronics     Full-text available via subscription   (Followers: 7)
Pulse     Full-text available via subscription   (Followers: 5)
Radiophysics and Quantum Electronics     Hybrid Journal   (Followers: 2)
Recent Advances in Communications and Networking Technology     Hybrid Journal   (Followers: 3)
Recent Advances in Electrical & Electronic Engineering     Hybrid Journal   (Followers: 9)
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription   (Followers: 5)
Security and Communication Networks     Hybrid Journal   (Followers: 2)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 53)
Semiconductors and Semimetals     Full-text available via subscription   (Followers: 1)
Sensing and Imaging : An International Journal     Hybrid Journal   (Followers: 2)
Services Computing, IEEE Transactions on     Hybrid Journal   (Followers: 4)
Software Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 75)
Solid-State Circuits Magazine, IEEE     Hybrid Journal   (Followers: 13)
Solid-State Electronics     Hybrid Journal   (Followers: 9)
Superconductor Science and Technology     Hybrid Journal   (Followers: 2)
Synthesis Lectures on Power Electronics     Full-text available via subscription   (Followers: 3)
Technical Report Electronics and Computer Engineering     Open Access  
TELE     Open Access  
Telematique     Open Access  
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 8)
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 6)
Visión Electrónica : algo más que un estado sólido     Open Access   (Followers: 1)
Wireless and Mobile Technologies     Open Access   (Followers: 6)
Wireless Power Transfer     Full-text available via subscription   (Followers: 4)
Women in Engineering Magazine, IEEE     Full-text available via subscription   (Followers: 11)
Електротехніка і Електромеханіка     Open Access  

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Journal Cover
IEEE Transactions on Automatic Control
Journal Prestige (SJR): 3.433
Citation Impact (citeScore): 6
Number of Followers: 55  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0018-9286
Published by IEEE Homepage  [191 journals]
  • IEEE Control Systems Society
    • Abstract: "Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication."
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • IEEE Control Systems Society
    • Abstract: "Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication."
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Scanning the Issue
    • Pages: 445 - 447
      Abstract: Provides an overview of the technical articles and features presented in this issue.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • QUARKS: Identification of Large-Scale Kronecker Vector-Autoregressive
           Models
    • Authors: Baptiste Sinquin;Michel Verhaegen;
      Pages: 448 - 463
      Abstract: In this paper, we address the identification of two-dimensional (2-D) spatial-temporal dynamical systems described by the Vector-AutoRegressive (VAR) form. The coefficient-matrices of the VAR model are parametrized as sums of Kronecker products. When the number of terms in the sum is small compared to the size of the matrices, such a Kronecker representation efficiently models large-scale VAR models. Estimating the coefficient matrices in least-squares sense gives rise to a bilinear estimation problem that is tackled using an Alternating Least Squares (ALS) algorithm. Regularization or parameter constraints on the coefficient-matrices allows to induce temporal network properties, such as stability, as well as spatial properties, such as sparsity or Toeplitz structure. Convergence of the regularized ALS is proved using fixed-point theory. A numerical example demonstrates the advantages of the new modeling paradigm. It leads to comparable variance of the prediction error with the unstructured least-squares estimation of VAR models. However, the number of parameters grows only linearly with respect to the number of nodes in the 2-D sensor network instead of quadratically in the case of fully unstructured coefficient-matrices.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • A Surrogate Optimization-Based Mechanism for Resource Allocation and
           Routing in Networks With Strategic Agents
    • Authors: Farzaneh Farhadi;S. Jamaloddin Golestani;Demosthenis Teneketzis;
      Pages: 464 - 479
      Abstract: We consider a mechanism design problem for the joint flow control and multipath routing in informationally decentralized networks with strategic agents. Based on a surrogate optimization approach, we propose an incentive mechanism that strongly implements the social-welfare maximizing outcome in Nash equilibria. This mechanism possesses several other desirable properties, including individual rationality and budget balance at equilibrium. More importantly, in contrast to the existing literature on the network resource allocation mechanisms, the proposed mechanism is dynamically stable, meaning that the Nash equilibrium (NE) of the game induced by the mechanism can be learned by the agents in a decentralized manner. To establish dynamic stability, we propose a decentralized iterative process that always converges to a NE of the game induced by the mechanism, provided that all strategic agents follow the process. To the best of our knowledge, this is the first incentive mechanism that simultaneously possesses all the above-mentioned properties.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Formal Synthesis of Control Strategies for Positive Monotone Systems
    • Authors: Sadra Sadraddini;Calin Belta;
      Pages: 480 - 495
      Abstract: We design controllers from formal specifications for positive discrete-time monotone systems that are subject to bounded disturbances. Such systems are widely used to model the dynamics of transportation and biological networks. The specifications are described using signal temporal logic (STL), which can express a broad range of temporal properties. We formulate the problem as a mixed-integer linear program (MILP) and show that under the assumptions made in this paper, which are not restrictive for traffic applications, the existence of open-loop control policies is sufficient and almost necessary to ensure the satisfaction of STL formulas. We establish a relation between satisfaction of STL formulas in infinite time and set-invariance theories and provide an efficient method to compute robust control invariant sets in high dimensions. We also develop a robust model predictive framework to plan controls optimally while ensuring the satisfaction of the specification. Illustrative examples and a traffic management case study are included.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Adaptive Sequential Stochastic Optimization
    • Authors: Craig Wilson;Venugopal V. Veeravalli;Angelia Nedić;
      Pages: 496 - 509
      Abstract: A framework is introduced for sequentially solving convex stochastic minimization problems, where the objective functions change slowly, in the sense that the distance between successive minimizers is bounded. The minimization problems are solved by sequentially applying a selected optimization algorithm, such as stochastic gradient descent, based on drawing a number of samples in order to carry the iterations. Two tracking criteria are introduced to evaluate approximate minimizer quality: one based on being accurate with respect to the mean trajectory, and the other based on being accurate in high probability. An estimate of a bound on the minimizers’ change, combined with properties of the chosen optimization algorithm, is used to select the number of samples needed to meet the desired tracking criterion. A technique to estimate the change in minimizers is provided along with analysis to show that eventually the estimate upper bounds the change in minimizers. This estimate of the change in minimizers provides sample size selection rules that guarantee that the tracking criterion is met for sufficiently large number of time steps. Simulations are used to confirm that the estimation approach provides the desired tracking accuracy in practice, while being efficient in terms of number of samples used in each time step.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Control and State Estimation of the One-Phase Stefan Problem via
           Backstepping Design
    • Authors: Shumon Koga;Mamadou Diagne;Miroslav Krstic;
      Pages: 510 - 525
      Abstract: This paper develops a control and estimation design for the one-phase Stefan problem. The Stefan problem represents a liquid–solid phase transition as time evolution of a temperature profile in a liquid–solid material and its moving interface. This physical process is mathematically formulated as a diffusion partial differential equation (PDE) evolving on a time-varying spatial domain described by an ordinary differential equation (ODE). The state-dependency of the moving interface makes the coupled PDE-ODE system a nonlinear and challenging problem. We propose a full-state feedback control law, an observer design, and the associated output feedback control law of both Neumann and Dirichlet boundary actuations via the backstepping method. Also, the state-feedback control law is provided when a Robin boundary input is considered. The designed observer allows the estimation of the temperature profile based on the available measurements of liquid-phase length and the heat flux at the interface. The associated output feedback controller ensures the global exponential stability of the estimation errors, the ${mathcal H}_1$-norm of the distributed temperature, and the moving interface at the desired setpoint under some explicitly given restrictions on the setpoint and observer gain.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • A Regularized Variable Projection Algorithm for Separable Nonlinear
           Least-Squares Problems
    • Authors: Guang-Yong Chen;Min Gan;C. L. Philip Chen;Han-Xiong Li;
      Pages: 526 - 537
      Abstract: Separable nonlinear least-squares (SNLLS) problems arise frequently in many research fields, such as system identification and machine learning. The variable projection (VP) method is a very powerful tool for solving such problems. In this paper, we consider the regularization of ill-conditioned SNLLS problems based on the VP method. Selecting an appropriate regularization parameter is difficult because of the nonlinear optimization procedure. We propose to determine the regularization parameter using the weighted generalized cross-validation method at every iteration. This makes the original objective function changing during the optimization procedure. To circumvent this problem, we use an inequation to produce a consistent demand of decreasing at successive iterations. The approximation of the Jacobian of the regularized problem is also discussed. The proposed regularized VP algorithm is tested by the parameter estimation problem of several statistical models. Numerical results demonstrate the effectiveness of the proposed algorithm.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • The Polynomial Approach to the LQ Non-Gaussian Regulator Problem Through
           Output Injection
    • Authors: Stefano Battilotti;Filippo Cacace;Massimiliano d’Angelo;Alfredo Germani;
      Pages: 538 - 552
      Abstract: In this paper, an improved approach for the solution of the regulator problem for linear discrete-time dynamical systems with non-Gaussian disturbances and quadratic cost functional is proposed. It is known that a suboptimal recursive control can be derived from the classical linear quadratic Gaussian (LQG) solution by substituting the linear filtering part with a quadratic, or in general polynomial, filter. However, we show that when the system is not asymptotically stable the polynomial control does not improve over the classical LQG solution, due to the lack of the internal stability of the polynomial filter. In order to enlarge the class of systems that can be controlled, we propose a new method based on a suitable rewriting of the system by means of an output injection term. We show that this allows us to overcome the problem and to design a polynomial optimal controller also for non asymptotically stable systems. Numerical results show the effectiveness of the method.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Design and Analysis of State-Feedback Optimal Strategies for the
           Differential Game of Active Defense
    • Authors: Eloy Garcia;David W. Casbeer;Meir Pachter;
      Pages: 553 - 568
      Abstract: This paper is concerned with a scenario of active target defense modeled as a zero-sum differential game. The differential game theory as developed by Isaacs provides the correct framework for the analysis of pursuit-evasion conflicts and the design of optimal strategies for the players involved in the game. This paper considers an Attacker missile pursuing a Target aircraft protected by a Defender missile which aims at intercepting the Attacker before the latter reaches the Target aircraft. A differential game is formulated where the two opposing players/teams try to minimize/maximize the distance between the Target and the Attacker at the time of interception of the Attacker by the Defender and such time indicates the termination of the game. The Attacker aims to minimize the terminal distance between itself and the Target at the moment of its interception by the Defender. The opposing player/team consists of two cooperating agents: The Target and the Defender. These two agents cooperate in order to accomplish the two objectives: Guarantee interception of the Attacker by the Defender and maximize the terminal Target-Attacker separation. In this paper, we provide a complete, closed form solution of the active target defense differential game; we synthesize closed-loop state feedback optimal strategies for the agents and obtain the Value function of the game. We characterize the Target's escape set and show that the Value function is continuous and continuously differentiable over the Target's escape set, and that it satisfies the Hamilton–Jacobi–Isaacs equation everywhere in this set.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Robust Stability of Positive Monotone Feedback Interconnections
    • Authors: Chung-Yao Kao;Sei Zhen Khong;
      Pages: 569 - 581
      Abstract: Positive monotonicity and robustness of feedback interconnections of nonlinear systems are studied. First, it is shown that a well-known instantaneous gain condition on the open-loop systems, which implies feedback well-posedness, also guarantees feedback positivity. Second, parallel to the well-known results based on integral quadratic constraints, uncertainty in positive monotone feedback interconnections is characterized using a generalized notion of integral linear constraints (ILCs), which leads to robust stability conditions that are scalable with the dimensions of the systems. A list of ILCs for commonly encountered uncertainties is provided. The efficacy of the results is illustrated by a number of examples.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Social Power Dynamics Over Switching and Stochastic Influence Networks
    • Authors: Ge Chen;Xiaoming Duan;Noah E. Friedkin;Francesco Bullo;
      Pages: 582 - 597
      Abstract: The DeGroot–Friedkin (DF) model is a recently proposed dynamical description of the evolution of individuals’ self-appraisal and social power in a social influence network. Most studies of this system and its variations have so far focused on models with a time-invariant influence network. This paper proposes novel models and analysis results for DF models over switching influence networks, and with or without environment noise. First, for a DF model over switching influence networks, we show that the trajectory of the social power converges to a ball centered at the equilibrium reached by the original DF model. For the DF model with memory on random interactions, we show that the social power converges to the equilibrium of the original DF model almost surely. Additionally, this paper studies a DF model that contains random interactions and environment noise, and has memory on the self-appraisal. We show that such a system converges to an equilibrium or a set almost surely. Finally, as a by-product, we provide novel results on the convergence rates of the original DF model and convergence results for a continuous-time DF model.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Bearing-Based Formation Control of a Group of Agents With Leader-First
           Follower Structure
    • Authors: Minh Hoang Trinh;Shiyu Zhao;Zhiyong Sun;Daniel Zelazo;Brian D. O. Anderson;Hyo-Sung Ahn;
      Pages: 598 - 613
      Abstract: This paper studies bearing-based formation control of a group of autonomous agents with the leader-first follower (LFF) structure in an arbitrary dimensional space. First, the bearing-based Henneberg construction and some properties of the LFF formation are introduced. Then, we propose and analyze bearing-only control laws that almost globally stabilize LFF formations to a desired formation. Further strategies to rotate and rescale the target formation are also discussed. Finally, simulation results are provided to support the analysis.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Invariance-Like Results for Nonautonomous Switched Systems
    • Authors: Rushikesh Kamalapurkar;Joel A. Rosenfeld;Anup Parikh;Andrew R. Teel;Warren E. Dixon;
      Pages: 614 - 627
      Abstract: This paper generalizes the LaSalle–Yoshizawa Theorem to switched nonsmooth systems. The Filippov and Krasovskii regularizations of a switched system are shown to be contained within the convex hull of the Filippov and Krasovskii regularizations of the subsystems, respectively. A common candidate Lyapunov function that has a negative semidefinite generalized time derivative along the trajectories of the subsystems is shown to be sufficient to establish LaSalle–Yoshizawa-like results for the switched system. Of independent interest, are the results on approximate continuity and Filippov regularization of set-valued maps, reduction of differential inclusions using Lipschitz continuous regular functions, and comparative remarks on different generalizations of the time derivative along the trajectories of a nonsmooth system.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Feedback Control of a Motorized Skateboard
    • Authors: Pascal Morin;Claude Samson;
      Pages: 628 - 639
      Abstract: This paper develops a feedback control solution for the automatization of a motorized skateboard, also called symmetric snakeboard in the robotics and automatic control literature. Controlling this system is particularly challenging due to the association of kinematic and dynamic nonintegrable constraints to which it is subjected. The transverse function approach, combined with backstepping, is used to derive dynamic feedback laws that ensure practical stabilization of arbitrary reference trajectories in the Cartesian space. Simulation results illustrate the proposed approach.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Regulation of Nonminimum-Phase Nonlinear Systems Using Slow Integrators
           and High-Gain Feedback
    • Authors: Xiucai Huang;Hassan K. Khalil;Yongduan Song;
      Pages: 640 - 653
      Abstract: This paper investigates the regulation problem for nonminimum-phase nonlinear systems via slow integrators and high-gain feedback. The developed methodology involves four steps: in the first step, we design a full-information feedback controller for an auxiliary system, which parallels the stabilization of the original system, as pioneered in [18]. In the second step, we use high-gain feedback to stabilize the original system, which is able to recover the performance of the auxiliary system by choosing the gain high enough. In the third step, with a condition on the dc steady-state input–output map, a slow integrator is added that enforces the objective of regulation. In the last step, we extend the methodology into the output feedback case by utilizing the extended high-gain observer to estimate the derivatives of the output as well as one unknown term including system uncertainties. The use of the observer recovers the performance under full-information feedback. The design procedure is first presented for the linear model for the clarity of the proposed methodology. The effectiveness of such methodology is demonstrated on the nontrivial translational oscillator rotating actuator example. At last, the design for minimum-phase nonlinear systems is also provided. In this case, the performance recovery of the closed-loop auxiliary system by output feedback is verified.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Vector-Lyapunov-Function-Based Input-to-State Stability of Stochastic
           Impulsive Switched Time-Delay Systems
    • Authors: Wei Ren;Junlin Xiong;
      Pages: 654 - 669
      Abstract: In this paper, the input-to-state stability is studied for stochastic impulsive switched time-delay systems. Using the vector Lyapunov function, average dwell time, and the properties of $M$-matrix, different types of sufficient conditions are established. Both the case that the continuous dynamics is stable and the case that the discrete dynamics is stable are addressed, and the stability conditions are obtained. In the obtained stability conditions, different components of the vector Lyapunov function are allowed to be coupled; the information in consecutive impulsive switching intervals is also allowed to be coupled. Therefore, the magnification on the corresponding coupling items is avoided and the obtained results are more general and less conservative than the existing results. Furthermore, we investigate the relationships among the vector Lyapunov function approach, the approach based on the comparison principle and the scalar Lyapunov function approach. According to the vector Lyapunov function, the comparison system is constructed and the scalar-Lyapunov-function-based stability conditions are established. Finally, the applicability of our results is illustrated through two examples from neural systems and the synchronization problem of chaos-based secure communication systems.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Revisiting Kalman and Aizerman Conjectures via a Graphical Interpretation
    • Authors: Taher Naderi;Donatello Materassi;Giacomo Innocenti;Roberto Genesio;
      Pages: 670 - 682
      Abstract: The paper revisits Aizerman and Kalman conjectures for absolute stability through the lens of a novel graphical interpretation. Even though these conjectures have been proven false, such a graphical interpretation suggests natural ways to introduce additional conditions in order to obtain new valid absolute stability criteria. As an illustration, the paper proves a new absolute stability criterion obtained by the iterative application of a variation of the circle criterion
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • ${H_{infty+}}$ +Performance+Allocation&rft.title=IEEE+Transactions+on+Automatic+Control&rft.issn=0018-9286&rft.date=2019&rft.volume=64&rft.spage=683&rft.epage=696&rft.aulast=Lewis;&rft.aufirst=Xianwei&rft.au=Xianwei+Li;Yeng+Chai+Soh;Lihua+Xie;Frank+L.+Lewis;">Cooperative Output Regulation of Heterogeneous Linear Multi-Agent Networks
           via ${H_{infty }}$ Performance Allocation
    • Authors: Xianwei Li;Yeng Chai Soh;Lihua Xie;Frank L. Lewis;
      Pages: 683 - 696
      Abstract: The cooperative output regulation (COR) problem of heterogeneous linear multi-agent networks [multi-agent systems (MASs)] is studied in the paper. Agents are allowed to be inherently heterogeneous linear time-invariant systems and the communication graph is not restricted to be acyclic. Both state- and output-feedback control protocols that make use of neighbors’ output information are considered. In light of robust control theory and robust output regulation theory, small-gain solvability conditions with closed-loop pole specifications are first derived. Then, an ${H_{infty }}$ performance allocation approach is proposed for protocol design, where algorithms for optimizing graph weights and designing protocol gains are constructed, respectively. Both continuous-time (CT) and discrete-time MASs are investigated in a unified framework. In addition, solvability of the COR problem is further discussed from the graph, agent, and exosystem aspects, respectively. It is proved that the proposed approach pre-explicitly ensures the solvability of the COR problem for either of the three cases: the graph is acyclic; for CT MASs, agents are minimum-phase and right-invertible; and for CT MASs, the poles of the exosystem have zero real part and agents are right-invertible.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Newton-Type Alternating Minimization Algorithm for Convex Optimization
    • Authors: Lorenzo Stella;Andreas Themelis;Panagiotis Patrinos;
      Pages: 697 - 711
      Abstract: We propose a Newton-type alternating minimization algorithm (NAMA) for solving structured nonsmooth convex optimization problems where the sum of two functions is to be minimized, one being strongly convex and the other composed with a linear mapping. The proposed algorithm is a line-search method over a continuous, real-valued, exact penalty function for the corresponding dual problem, which is computed by evaluating the augmented Lagrangian at the primal points obtained by alternating minimizations. As a consequence, NAMA relies on exactly the same computations as the classical alternating minimization algorithm (AMA), also known as the dual-proximal gradient method. Under standard assumptions, the proposed algorithm converges with global sublinear and local linear rates, while under mild additional assumptions, the asymptotic convergence is superlinear, provided that the search directions are chosen according to quasi-Newton formulas. Due to its simplicity, the proposed method is well suited for embedded applications and large-scale problems. Experiments show that using limited-memory directions in NAMA greatly improves the convergence speed over AMA and its accelerated variant.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Necessary and Sufficient Conditions of Exponential Stability for Delayed
           Linear Discrete-Time Systems
    • Authors: Haifang Li;Ning Zhao;Xin Wang;Xian Zhang;Peng Shi;
      Pages: 712 - 719
      Abstract: This paper is concerned with the problem of stability analysis for delayed linear discrete-time systems (DLDTSs). In order to obtain the necessary and sufficient criteria of exponential stability for DLDTSs, we first address the boundary value problem (BVP) of matrix difference equations, which is a generalization of the Lyapunov matrix equation (LME) for delay-free linear discrete-time systems. Also, the existence, uniqueness, and properties of solution to the BVP are investigated. In addition, for DLDTSs, we introduce a new concept—Lyapunov matrix that can be viewed as a generalization of the unique positive definite solution of delay-free LME. It should be noted that the Lyapunov matrix can be represented by the solution of the BVP. Then, the Lyapunov condition—a necessary and sufficient condition that guarantees the existence and uniqueness of Lyapunov matrix is introduced and characterized. Furthermore, by constructing Lyapunov matrix-based complete Lyapunov–Krasovskii functional, some necessary and sufficient conditions under which the considered DLDTSs are exponentially stable are proposed. Finally, two numerical examples are presented to show the advantages of the proven theoretic results.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Recursive Filtering for Time-Varying Systems With Random Access Protocol
    • Authors: Lei Zou;Zidong Wang;Qing-Long Han;Donghua Zhou;
      Pages: 720 - 727
      Abstract: This paper is concerned with the recursive filtering problem for a class of networked linear time-varying systems subject to the scheduling of the random access protocol (RAP). The communication between the sensor nodes and the remote filter is implemented via a shared network. For the purpose of preventing the data from collisions, only one sensor node is allowed to get access to the network at each time instant. The transmission order of sensor nodes is orchestrated by the RAP scheduling, under which the selected nodes obtaining access to the network could be characterized by a sequence of independent and identically-distributed variables. The aim of the addressed filtering problem is to design a recursive filter such that the filtering error covariance could be minimized by properly designing the filter gain at each time instant. The desired filter gain is calculated recursively by solving two Riccati-like difference equations. Furthermore, the boundedness issue of the corresponding filtering error covariance is investigated. Sufficient conditions are obtained to ensure the lower and upper bounds of the filtering error covariance. Two illustrative examples are given to demonstrate the correctness and effectiveness ofour developed recursive filtering approach.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Model Checking in Isomorphic Module Systems
    • Authors: Weilin Wang;Rong Su;Liyong Lin;Chaohui Gong;
      Pages: 728 - 735
      Abstract: With a growing number of interacting modules in today's complex systems, finding an effective tool for detecting design errors has become increasingly challenging. We present procedures for analyzing blocking or deadlock in systems consisting of isomorphic modules instantiated from a template. These procedures identify all possible blocking or deadlock sources and directly compute the maximum number of isomorphic modules under which the system is guaranteed to be nonblocking or deadlock-free.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Stability and Set Stability in Distribution of Probabilistic Boolean
           Networks
    • Authors: Yuqian Guo;Rongpei Zhou;Yuhu Wu;Weihua Gui;Chunhua Yang;
      Pages: 736 - 742
      Abstract: We propose a new concept, stability in distribution (SD) of a probabilistic Boolean network (PBN), which determines whether the probability distribution converges to the distribution of the target state (namely, a one-point distributed random variable). In a PBN, stability with probability one, stability in the stochastic sense, and SD are equivalent. The SD is easily generalized to subset stability, i.e., to set stability in distribution (SSD). We prove that the transition probability from any state to an invariant subset (or to a fixed point) is nondecreasing in time. This monotonicity is an important property in establishing stability criteria and in calculating or estimating the transient period. We also obtain a verifiable, necessary, and sufficient condition for SD of PBNs with independently and identically distributed switching. We then show that SD problems of PBNs with Markovian switching and PBN synchronizations can be recast as SSD problems of Markov chains. After calculating the largest invariant subset of a Markov chain in a given set by the newly proposed algorithm, we propose a necessary and sufficient condition for SSDs of Markov chains. The proposed method and results are supported by examples.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Optimizing Sensor Activation in a Language Domain for Fault Diagnosis
    • Authors: Weilin Wang;Chaohui Gong;Di Wang;
      Pages: 743 - 750
      Abstract: Sensors are activated/deactivated according to a sensor activation policy (SAP), which is a decision function whose domain is the language of the system. An SAP is minimal for diagnosability if it is at the point where the system is diagnosable, but any additional deactivation prevents correct system diagnosis. Given that the system is diagnosable when all sensors are always activated, we find in this paper that minimal SAP for diagnosability does not always exist. We therefore develop algorithms to compute a minimal SAP under which the system is pseudodiagnosable. Adhering to such a policy extends the window of opportunity for proper system diagnosis indefinitely, but with the compromise that later policy amendments are allowed.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Iterative Changing Supply Rates, Dynamic State Feedback, and Adaptive
           Stabilization of Time-Delay Systems
    • Authors: Xu Zhang;Wei Lin;Yan Lin;
      Pages: 751 - 758
      Abstract: Global adaptive stabilization by partial state feedback is studied for time-delay cascade systems with nonlinear parameterization. The inverse-dynamics of time-delay nonlinear systems under consideration is of a lower-triangular form and assumed to satisfy certain ISS-like conditions. By taking advantage of the lower-triangular structure, we present an iterative algorithm for changing supply rates so that the time-delay zero-dynamics can be handled effectively. With the aid of the iterative technique of changing supply rates, we develop a dynamic gain-based control strategy that, together with the feedback domination design, leads to a construction of partial-state, delay-free adaptive controllers. As a result, all the states of the time-delay cascade system are regulated to the origin and the boundedness of the solution of the closed-loop system is achieved.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • A Note on Distributed Finite-Time Observers
    • Authors: Haik Silm;Rosane Ushirobira;Denis Efimov;Jean-Pierre Richard;Wim Michiels;
      Pages: 759 - 766
      Abstract: The robust distributed estimation for a class of time-invariant plants is achieved via a finite-time observer, its error reaching zero after a finite time in the absence of perturbation. Two types of robustness are also shown. First, input-to-state stability with respect to measurement noises and additive perturbations is proven. Second, we demonstrate that the estimation error stays bounded in the presence of known transmission delays.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Trajectory Tracking on Complex Networks Via Inverse Optimal Pinning
           Control
    • Authors: Carlos J. Vega;Oscar J. Suarez;Edgar N. Sanchez;Guanrong Chen;Santiago Elvira-Ceja;David Rodriguez-Castellanos;
      Pages: 767 - 774
      Abstract: In this technical note, a novel approach to trajectory tracking control of a complex network is presented, based on the idea and technique of inverse optimal pinning control. A control law that stabilizes the tracking error dynamics is developed. This controller allows different coupling strengths, and simultaneously minimizing an associated cost functional. Chaotic systems are considered to illustrate the applicability of the new methodology and the proposed controller effectiveness via simulations.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • On Redundant Observability: From Security Index to Attack Detection and
           Resilient State Estimation
    • Authors: Chanhwa Lee;Hyungbo Shim;Yongsoon Eun;
      Pages: 775 - 782
      Abstract: The security of control systems under sensor attacks is investigated. Redundant observability is introduced, explaining existing security notions including the security index, attack detectability, and observability under attacks. Equivalent conditions between redundant observability and existing notions are presented. Based on a bank of partial observers utilizing Kalman decomposition and a decoder exploiting redundancy, an estimator design algorithm is proposed enhancing the resilience of control systems. This scheme substantially improves computational efficiency utilizing far less memory.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Minimal Reachability is Hard To Approximate
    • Authors: Ali Jadbabaie;Alexander Olshevsky;George J. Pappas;Vasileios Tzoumas;
      Pages: 783 - 789
      Abstract: In this note, we consider the problem of choosing, which nodes of a linear dynamical system should be actuated so that the state transfer from the system's initial condition to a given final state is possible. Assuming a standard complexity hypothesis, we show that this problem cannot be efficiently solved or approximated in polynomial, or even quasi-polynomial, time.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Stability and Stabilization of Boolean Networks With Stochastic Delays
    • Authors: Min Meng;James Lam;Jun-E Feng;Kie Chung Cheung;
      Pages: 790 - 796
      Abstract: In this paper, stability and stabilization of Boolean networks with stochastic delays are studied via semi-tensor product of matrices. The stochastic delays, randomly attaining finite values, are modeled by Markov chains. By utilizing an augmented method, the considered Boolean network is first converted into two coupled Markovian switching systems without delays. Then, some stochastic stability results are obtained based on stability results of positive systems. Subsequently, the stabilization of Boolean networks with stochastic delays is further investigated, and an equivalent condition for the existence of feedback controllers is provided in terms of a convex programming problem, which can be easily solved and also conveniently applied to design controller gains. Finally, numerical examples are given to illustrate feasibility of the obtained results.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Event-Triggered Control of Nonlinear Systems With State Quantization
    • Authors: Tengfei Liu;Zhong-Ping Jiang;
      Pages: 797 - 803
      Abstract: This paper studies event-based control of nonlinear systems with state quantization. Two configurations of the event-based quantized controller are considered: Quantization after sampling and quantization before sampling. The considered quantizer is assumed to have a finite quantization range. With input-to-state stability (ISS) tools, new event-triggering, and dynamic quantization mechanisms are designed to deal with the interaction of the quantizer and the sampler. For both of the configurations, infinitely fast sampling, and in particular the Zeno phenomenon, is avoided. And the system state asymptotically converges to the origin, if a growth condition is satisfied by the ISS gain of the controlled system.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • $mathcal+{H}_2$ +Norm+for+Single-Delay+Systems,+With+Application+to+Control+Design+and+Model+Approximation&rft.title=IEEE+Transactions+on+Automatic+Control&rft.issn=0018-9286&rft.date=2019&rft.volume=64&rft.spage=804&rft.epage=811&rft.aulast=Michiels;&rft.aufirst=Marco&rft.au=Marco+A.+Gomez;Alexey+V.+Egorov;Sabine+Mondié;Wim+Michiels;">Optimization of the $mathcal {H}_2$ Norm for Single-Delay Systems, With
           Application to Control Design and Model Approximation
    • Authors: Marco A. Gomez;Alexey V. Egorov;Sabine Mondié;Wim Michiels;
      Pages: 804 - 811
      Abstract: We propose a novel approach for the optimization of the $mathcal {H}_2$ norm for time-delay systems, grounded in its characterization in terms of the delay Lyapunov matrix. We show how the partial derivatives of the delay Lyapunov matrix with respect to system or controller parameters can be semianalytically computed, by solving a delay Lyapunov equation with inhomogeneous terms. It allows us to obtain the gradient of the $mathcal {H}_2$ norm and in turn to use it in a gradient-based optimization framework. We demonstrate the potential of the approach on two classes of problems, the design of robust controllers and the computation of approximate models of reduced dimension. Thereby, a major advantage is the flexibility: in the former class of applications, the order or structure of the controller can be prescribed, including recently proposed delay-based controllers. For the latter class of applications, approximate models described by both ordinary and delay differential equations (e.g., inhering the structure of the original system) can be synthesized.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • A Dual Internal Model Based Repetitive Control for Linear Discrete-Time
           Systems
    • Authors: Qiao Zhu;
      Pages: 812 - 819
      Abstract: A novel discrete-time repetitive control (RC) scheme is proposed to achieve both the fast convergence rate and the perfect tracking/rejection by updating the input period by period and in the internal of the periods simultaneously. By using the internal model (IM) of the external periodic signals, the classic RC achieves perfect tracking/rejection. Furthermore, a polynomial IM (PIM) is introduced, which only incorporates the dominant frequencies of the external signals. The PIM-based RC is faster than the classic RC because of the fact that the PIM makes the input update in the internal of the periods. However, the PIM-based RC cannot achieve perfect tracking/rejection. Motivated by the fast convergence rate of the PIM-based RC and the perfect tracking/rejection of the classic RC, a new RC scheme is proposed whose IM is the product of the IMs of the classic and PIM-based RCs. As such, the new RC scheme is named as a dual IM (DIM)-based RC. By using the 2-D $H_{infty }$ theory, it is verified that the DIM-based RC can achieve both the fast convergence rate and perfect tracking/rejection. In addition, by further comparing the classic, PIM-based, and DIM-based RCs in frequency domain, the merits and demerits of the three RCs on the convergence rate and the steady-state performance are deeply discussed. Finally, an experimental apparatus about the rotational system with two dc motors is given to illustrate the advantage of the proposed DIM-based RC.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • On the Existence of a Solution to a Spectral Estimation Problem à la
           Byrnes–Georgiou–Lindquist
    • Authors: Bin Zhu;Giacomo Baggio;
      Pages: 820 - 825
      Abstract: A parametric spectral estimation problem in the style of Byrnes, Georgiou, and Lindquist was posed in [1], but the existence of a solution was only proved in a special case. Based on their results, we show that a solution indeed exists given an arbitrary matrix-valued prior density. The main tool in our proof is the topological degree theory.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Singular Arcs in Optimal Control of Continuous-Time Bimodal Switched
           Linear Systems
    • Authors: Naoyuki Hara;Keiji Konishi;
      Pages: 826 - 833
      Abstract: This paper considers a singular problem in optimal control of continuous-time bimodal switched linear systems. A relaxed switched system with a continuous-valued switching signal is considered and the representations of singular control and singular arcs are derived. The similarity in the structure between the singular control and a stabilizing switching law is revealed and an approximation of the singular control by a well-defined switching signal is addressed. The results are demonstrated by numerical simulations.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Process Noise Covariance Design in Kalman Filtering via Bounds
           Optimization
    • Authors: Manuel Salvoldi;Daniel Choukroun;
      Pages: 834 - 840
      Abstract: This note presents new results on the design of the process noise covariance matrix in Kalman filtering. The proposed design belongs to the realm of worst case methods: the optimal covariance is sought such as to maximize an upper bound on the estimation error matrix under a total budget constraint. Optimality conditions are derived along with a numerical algorithm for iterative approximation of the optimal solution. The optimal solution features a few time points and the associated covariances. Broadly speaking, the process noise is only “active” at the time points that enhance its controllability. The importance of the method is that it bounds from above the performance of any Kalman filter with a different design. Monte Carlo simulations on a double harmonic system numerical example illustrate the good convergence, performance, and low sensitivity to initial guesses of the proposed method. Moreover, in terms of estimation accuracy, the Kalman filter with the optimal design outperforms a robust $H_2$ filter designed to cope with an equivalent uncertainty.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • On the Local Stabilization of Hybrid Limit Cycles in Switched Affine
           Systems
    • Authors: Mohammed Benmiloud;Atallah Benalia;Mohamed Djemai;Michael Defoort;
      Pages: 841 - 846
      Abstract: Most of the proposed controllers for switched affine systems are able to drive the system trajectory to a sufficiently small neighborhood of a desired state. However, the trajectory behavior in this neighborhood is not generally considered despite the fact that the system performance may be judged by its steady operation as the case of power converters. This note investigates the local stabilization of a desired limit cycle in switched affine systems using the hybrid Poincaré map approach. To this end, interesting algebraic properties of the Jacobian of the hybrid Poincaré map are firstly discussed and used for the controller design to achieve asymptotic stability conditions of the limit cycle. A dc–dc four-level power converter is considered as an illustrative example to highlight the developed results.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Approximating the Steady-State Periodic Solutions of Contractive Systems
    • Authors: Samuel Coogan;Michael Margaliot;
      Pages: 847 - 853
      Abstract: We consider contractive systems whose trajectories evolve on a compact and convex state-space. It is well-known that if the time-varying vector field of the system is periodic, then the system admits a unique globally asymptotically stable periodic solution. Obtaining explicit information on this periodic solution and its dependence on various parameters is important both theoretically and in numerous applications. We develop an approach for approximating such a periodic trajectory using the periodic trajectory of a simpler system (e.g., an LTI system). The approximation includes an error bound that is based on the input-to-state stability property of contractive systems. We show that in some cases, this error bound can be computed explicitly. We also use the bound to derive a new theoretical result, namely, that a contractive system with an additive periodic input behaves like a low-pass filter. We demonstrate our results using several examples from systems biology.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Boundary Control of a Nonhomogeneous Flexible Wing With Bounded Input
           Disturbances
    • Authors: Hugo Lhachemi;David Saussié;Guchuan Zhu;
      Pages: 854 - 861
      Abstract: This note deals with the boundary control problem of a nonhomogeneous flexible wing evolving under unsteady aerodynamic loads. The wing is actuated at its tip by flaps and is modeled by a distributed parameter system consisting of two coupled partial differential equations. Based on the proposed boundary control law, the well-posedness of the underlying Cauchy problem is first investigated by resorting to the semigroup theory. Then, a Lyapunov-based approach is employed to assess the stability of the closed-loop system in the presence of bounded input disturbances.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Taylor Series Expansion for Zeros of Sampled-Data Systems
    • Authors: Takuya Sogo;Toshihito Utsuno;
      Pages: 862 - 868
      Abstract: This paper introduces key properties that are useful for the computation of a Taylor expansion of discretization zeros or single intrinsic zeros of sampled-data systems. Furthermore, regularity is shown to exist in the suffixes of the coefficients of the expansion expressions, which implies that the sampling zeros or every coefficient in the numerator of the transfer function of the sampled-data systems is dominated by the coefficients of higher order terms in the numerator and denominator of the continuous-time counterpart. Moreover, it is shown that the regularity can reduce the calculation effort for expansions of higher order systems.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
  • Time-Varying Sampled-Data Observer With Asynchronous Measurements
    • Authors: Antonino Sferlazza;Sophie Tarbouriech;Luca Zaccarian;
      Pages: 869 - 876
      Abstract: In this paper, a time-varying observer for a linear continuous-time plant with asynchronous sampled measurements is proposed. The observer is contextualized in the hybrid systems framework providing an elegant setting for the proposed solution. In particular, some theoretical tools are provided, in terms of linear matrix inequalities (LMIs), certifying asymptotic stability of a certain compact set where the estimation error is zero. We consider sampled asynchronous measurements that occur at arbitrary times in a certain window with an upper and lower bound. The design procedure, that we propose for the selection of the time-varying gain, is based on a constructive algorithm that is guaranteed to find a solution to an infinite-dimensional LMI whenever a feasible solution exists.
      PubDate: Feb. 2019
      Issue No: Vol. 64, No. 2 (2019)
       
 
 
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