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  Subjects -> ELECTRONICS (Total: 179 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: 78)
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: 315)
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: 36)
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: 47)
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: 269)
Edu Elektrika Journal     Open Access   (Followers: 1)
Electrica     Open Access  
Electronic Design     Partially Free   (Followers: 105)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 86)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 92)
Electronics Letters     Hybrid Journal   (Followers: 26)
Elkha : Jurnal Teknik Elektro     Open Access  
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 51)
Energy Harvesting and Systems     Hybrid Journal   (Followers: 4)
Energy Storage Materials     Full-text available via subscription   (Followers: 3)
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: 191)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IACR Transactions on Symmetric Cryptology     Open Access  
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 97)
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: 66)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 70)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 56)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 19)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 40)
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: 71)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 12)
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: 46)
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: 58)
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: 13)
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: 24)
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 Engineered Fibers and Fabrics     Open Access  
Journal of Field Robotics     Hybrid Journal   (Followers: 2)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 168)
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  
Jurnal Teknologi 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: 5)
Open Electrical & Electronic Engineering Journal     Open Access  
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: 9)
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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Similar Journals
Journal Cover
IEEE Transactions on Automatic Control
Journal Prestige (SJR): 3.433
Citation Impact (citeScore): 6
Number of Followers: 56  
 
  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: April 2019
      Issue No: Vol. 64, No. 4 (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: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Scanning the Issue
    • Pages: 1325 - 1327
      Abstract: Presents abstracts for the articles comprising this issue of the publication.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Risk-Sensitive Linear Control for Systems With Stochastic Parameters
    • Authors: Yuji Ito;Kenji Fujimoto;Yukihiro Tadokoro;Takayoshi Yoshimura;
      Pages: 1328 - 1343
      Abstract: A novel risk-sensitive (RS) control law is proposed for linear systems with stochastic system parameters. RS control laws are efficient means of handling risk in various failures in control caused by stochastic disturbances. However, stochastic parameters invoke problems, resulting controllers may become nonlinear in the state variable and incompatible with linear systems, cannot be obtained in an exact sense, and are defined only on a bounded state region. To solve these problems, this paper presents a risk-sensitive linear (RSL) control method. The important idea is that a standard RS-type cost function is converted to an expectation of a weighted cost function such that the resulting optimal controller is linear in the state. The weight is designed such that the weighted cost function preserves the characteristics of the original RS control. The designed weight allows one to derive the proposed RSL controller whose exact solution is obtained as a linear feedback law for all states. Furthermore, the RSL control law over an infinite horizon guarantees stochastic stability of the feedback system with the control law. The effectiveness of the proposed RSL control law is demonstrated by a numerical simulation.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Stable Process Approach to Analysis of Systems Under Heavy-Tailed Noise:
           Modeling and Stochastic Linearization
    • Authors: Kenji Kashima;Hiroki Aoyama;Yoshito Ohta;
      Pages: 1344 - 1357
      Abstract: The Wiener process has provided a lot of practically useful mathematical tools to model stochastic noise in many applications. However, this framework is not enough for modeling extremal events, since many statistical properties of dynamical systems driven by the Wiener process are inevitably Gaussian. The goal of this work is to develop a framework that can represent a heavy-tailed distribution without losing the advantages of the Wiener process. To this end, we investigate models based on stable processes (this term “stable” has nothing to do with “dynamical stability”) and clarify their fundamental properties. In addition, we propose a method for stochastic linearization, which enables us to approximately linearize static nonlinearities in feedback systems under heavy-tailed noise, and analyze the resulting error theoretically. The proposed method is applied to assessing wind power fluctuation to show the practical usefulness.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Cooperative–Competitive Multiagent Systems for Distributed Minimax
           Optimization Subject to Bounded Constraints
    • Authors: Shaofu Yang;Jun Wang;Qingshan Liu;
      Pages: 1358 - 1372
      Abstract: This paper presents continuous-time multiagent systems for distributed minimax optimization subject to bounded constraints. All agents in the system are divided into two groups for minimization and maximization. The multiagent system features competitive intergroup interactions and cooperative intragroup interactions, both of which are based on the output information of agents. First, a proportional-integral (PI) intragroup interaction rule is utilized for consensus within each group in the system. With this interaction rule, the system is proved to be convergent to an optimal solution to the problem, under a certain requirement on the intergroup interactions. Second, another discontinuous intragroup interaction rule is introduced. It is proved that the system with such an interaction is still convergent to an optimal solution if the proportional gain exceeds a derived lower bound, without the previous requirement on the intergroup interactions. As a special case, the systems are further applied for distributed optimization. Finally, simulation results are presented to substantiate the theoretical results.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints
    • Authors: Dario Paccagnan;Basilio Gentile;Francesca Parise;Maryam Kamgarpour;John Lygeros;
      Pages: 1373 - 1388
      Abstract: We consider the framework of aggregative games, in which the cost function of each agent depends on his own strategy and on the average population strategy. As first contribution, we investigate the relations between the concepts of Nash and Wardrop equilibria. By exploiting a characterization of the two equilibria as solutions of variational inequalities, we bound their distance with a decreasing function of the population size. As second contribution, we propose two decentralized algorithms that converge to such equilibria and are capable of coping with constraints coupling the strategies of different agents. Finally, we study the applications of charging of electric vehicles and of route choice on a road network.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Scaling Laws for Consensus Protocols Subject to Noise
    • Authors: Ali Jadbabaie;Alex Olshevsky;
      Pages: 1389 - 1402
      Abstract: We study the performance of discrete-time consensus protocols in the presence of additive noise. When the consensus dynamic corresponds to a reversible Markov chain, we give an exact expression for a weighted version of steady-state disagreement in terms of the stationary distribution and hitting times in an underlying graph. We then show how this result can be used to characterize the noise robustness of a class of protocols for formation control in terms of the Kemeny constant of an underlying graph.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Two Approaches for the Stabilization of Nonlinear KdV Equation With
           Boundary Time-Delay Feedback
    • Authors: Lucie Baudouin;Emmanuelle Crépeau;Julie Valein;
      Pages: 1403 - 1414
      Abstract: This paper concerns the nonlinear Korteweg-de Vries equation with boundary time-delay feedback. Under appropriate assumption on the coefficients of the feedbacks (delayed or not), we first prove that this nonlinear infinite dimensional system is well posed for small initial data. The main results of our study are two theorems stating the exponential stability of the nonlinear time-delay system. Two different methods are employed: a Lyapunov function approach (allowing to have an estimation on the decay rate, but with a restrictive assumption on the length of the spatial domain of the KdV equation) and an observability inequality approach, with a contradiction argument (for any noncritical lengths but without estimation on the decay rate). Some numerical simulations are given to illustrate the results.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Feedback Stabilization of a 1-D Linear Reaction–Diffusion Equation With
           Delay Boundary Control
    • Authors: Christophe Prieur;Emmanuel Trélat;
      Pages: 1415 - 1425
      Abstract: The goal of this paper is to design a stabilizing feedback boundary control for a reaction-diffusion partial differential equation (PDE), where the boundary control is subject to a constant delay while the equation may be unstable without any control. For this system, which is equivalent to a parabolic equation coupled with a transport equation, a prediction-based control is explicitly computed by splitting the infinite-dimensional system into two parts: a finite-dimensional unstable part and a stable infinite-dimensional part. A finite-dimensional delayed controller is computed for the unstable part, and it is shown that this controller stabilizes the whole PDE. The proof is based on an explicit expression of the classical Artstein transformation combined with an adequately designed Lyapunov function. A numerical simulation illustrates the constructive feedback design method.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Learning Generalized Nash Equilibria in a Class of Convex Games
    • Authors: Tatiana Tatarenko;Maryam Kamgarpour;
      Pages: 1426 - 1439
      Abstract: We consider multiagent decision making where each agent optimizes its convex cost function subject to individual and coupling constraints. The constraint sets are compact convex subsets of a Euclidean space. To learn Nash equilibria, we propose a novel distributed payoff-based algorithm, where each agent uses information only about its cost value and the constraint value with its associated dual multiplier. We prove convergence of this algorithm to a Nash equilibrium, under the assumption that the game admits a strictly convex potential function. In the absence of coupling constraints, we prove convergence to Nash equilibria under significantly weaker assumptions, not requiring a potential function. Namely, strict monotonicity of the game mapping is sufficient for convergence. We also derive the convergence rate of the algorithm for strongly monotone game maps.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Equilibrium-Independent Dissipativity With Quadratic Supply Rates
    • Authors: John W. Simpson-Porco;
      Pages: 1440 - 1455
      Abstract: Equilibrium-independent dissipativity (EID) is a recently introduced system property that requires a system to be dissipative with respect to any forced equilibrium configuration. This paper is a detailed examination of EID with quadratic supply rates for a common class of nonlinear control-affine systems. We provide an algebraic characterization of EID for such systems in the spirit of the Hill-Moylan lemma, where the usual stability condition is replaced by an incremental stability condition. Based on this characterization, we state results concerning internal stability, feedback stability, and absolute stability of EID systems. Finally, we study EID for discrete-time systems, providing the relevant definitions and an analogous Hill-Moylan-type characterization. Results for both continuous-time and discrete-time systems are illustrated through examples on physical systems and convex optimization algorithms.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Minimal Input and Output Selection for Stability of Systems With
           Uncertainties
    • Authors: Zhipeng Liu;Yao Long;Andrew Clark;Linda Bushnell;Daniel S. Kirschen;Radha Poovendran;
      Pages: 1456 - 1471
      Abstract: In networked control systems, selecting a subset of input and output nodes is a crucial step in designing a stabilizing controller. Most existing approaches to input and output selection focus on nominal systems with known parameters. For systems with uncertainties and time delays, current selection methods are based on exploiting the convexity after relaxing the original problem, which is inherently discrete, to continuous optimization forms, and hence lack optimality guarantees. This paper studies the problem of identifying the minimum-size sets of input and output nodes to guarantee stability of a linear system with uncertainties and time delays. We derive sufficient conditions to guarantee the existence of a stabilizing controller for an uncertain linear system, based on a subset of system modes lying within the controllability and observability subspaces induced by the selected inputs and outputs. We then formulate the problems of selecting minimum-size sets of input and output nodes to satisfy the derived conditions, and prove that they are equivalent to discrete optimization problems with bounded submodularity ratios. We develop polynomial-time selection algorithms with provable guarantees on the minimum number of inputs and outputs required. Our approach is applicable to various types of uncertainties, including additive uncertainty, multiplicative uncertainty, uncertain output delay, and structured uncertainty. In a numerical study, we test our approach for the wide-area damping control in power systems to ensure small signal stability. Our results are validated on the IEEE 39-bus test power system.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • $H_infty$ +Control&rft.title=IEEE+Transactions+on+Automatic+Control&rft.issn=0018-9286&rft.date=2019&rft.volume=64&rft.spage=1472&rft.epage=1486&rft.aulast=Chen;&rft.aufirst=Xiangyun&rft.au=Xiangyun+Lin;Tianliang+Zhang;Weihai+Zhang;Bor-Sen+Chen;">New Approach to General Nonlinear Discrete-Time Stochastic $H_infty$
           Control
    • Authors: Xiangyun Lin;Tianliang Zhang;Weihai Zhang;Bor-Sen Chen;
      Pages: 1472 - 1486
      Abstract: In this paper, a new approach based on convex analysis is introduced to solve the H∞ problem for discrete-time nonlinear stochastic systems. First, by using the disintegration property of the conditional expectation, sufficient/necessary conditions are given for the internal stability of the concerned systems. Second, in order to separate the unknown exogenous disturbance from the state variables, the properties of convex functions are applied to prove the stochastic version of bounded real lemma (BRL). Third, the state feedback H∞ control problem is studied, and an H∞ control is designed based on the BRL. Finally, two numerical examples and one real-world regulation control example of synthetic genetic circuit are presented to show the effectiveness of our developed theory.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Unscented Kalman Filters for Riemannian State-Space Systems
    • Authors: Henrique M. T. Menegaz;João Y. Ishihara;Hugo T. M. Kussaba;
      Pages: 1487 - 1502
      Abstract: Unscented Kalman filters (UKFs) have become popular in the research community. Most UKFs work only with Euclidean systems, but in many scenarios it is advantageous to consider systems with state-variables taking values on Riemannian manifolds. However, we can still find some gaps in the literature's theory of UKFs for Riemannian systems: for instance, the literature has not yet developed first, Riemannian extensions of some fundamental concepts of the UKF theory (e.g., extensions of σ-representation, unscented transformation, additive UKF, augmented UKF, additive-noise system), second, proofs of some steps in their UKFs for Riemannian systems (e.g., proof of sigma points parameterization by vectors, state correction equations, noise statistics inclusion), and third, relations between their UKFs for Riemannian systems. In this paper, we attempt to develop a theory capable of filling these gaps. Among other results, we propose Riemannian extensions of the main concepts in the UKF theory (including closed forms), justify all steps of the proposed UKFs, and provide a framework able to relate UKFs for particular manifolds among themselves and with UKFs for Euclidean spaces. Compared with UKFs for Riemannian manifolds of the literature, the proposed filters are more consistent, formally principled, and general. An example of satellite attitude tracking illustrates the proposed theory.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Risk-Sensitive Zero-Sum Differential Games
    • Authors: Jun Moon;Tyrone E. Duncan;Tamer Başar;
      Pages: 1503 - 1518
      Abstract: We consider two-player risk-sensitive zero-sum differential games (RSZSDGs). In our problem setup, both the drift term and the diffusion term in the controlled stochastic differential equation are dependent on the state and controls of both players, and the objective functional is of the risk-sensitive type. First, a stochastic maximum principle type necessary condition for an open-loop saddle point of the RSZSDG is established via nonlinear transformations of the adjoint processes of the equivalent risk-neutral stochastic zero-sum differential game. In particular, we obtain two variational inequalities, namely, the pair of saddle-point inequalities of the RSZSDG. Next, we obtain the Hamilton-Jacobi-Isaacs partial differential equation for the RSZSDG, which provides a sufficient condition for a feedback saddle point of the RSZSDG, using a logarithmic transformation of the associated value function. Finally, we study the extended linear-quadratic RSZSDG (LQ-RSZSDG). We show intractability of the extended LQ-RSZSDG with the state and/or controls of both players appearing in the diffusion term. This unexpected intractability could lead to nonlinear open-loop and feedback saddle points even if the problem itself is essentially LQ and the Isaacs condition holds.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Optimal Remote Estimation of Discrete Random Variables Over the Collision
           Channel
    • Authors: Marcos M. Vasconcelos;Nuno C. Martins;
      Pages: 1519 - 1534
      Abstract: Consider a system comprising sensors that communicate with a remote estimator by way of a so-called collision channel. Each sensor observes a discrete random variable and must decide whether to transmit it to the remote estimator or to remain silent. The variables are independent across sensors. There is no communication among the sensors, which precludes the use of coordinated transmission policies. The collision channel functions as an ideal link when a single sensor transmits. If there are two or more simultaneous transmissions, then a collision occurs and is detected at the remote estimator. The role of the remote estimator is to form estimates of all the observations at the sensors. Our goal is to design transmission policies that are globally optimal with respect to two criteria: the aggregate probability of error, which is a convex combination of the probabilities of error in estimating the individual observations; and the total probability of error. We show that, for the aggregate probability of error criterion, it suffices to sift through a structured finite set of candidate solutions to find a globally optimal one. In general, the cardinality of this set is exponential on the number of sensors, but we discuss important cases in which it becomes quadratic or even one. For the total probability of error criterion, we prove that the solution in which each sensor transmits when it observes all but a preselected most probable value is globally optimal. So, no search is needed in this case. Our results hold irrespective of the probability mass functions of the observed random variables, regardless the size of their support.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • On the SPRification of Linear Descriptor Systems via Output Feedback
    • Authors: Martin Corless;Ezra Zeheb;Robert Shorten;
      Pages: 1535 - 1549
      Abstract: We consider input-output systems in descriptor form and ask when such systems can be rendered strictly positive real (SPR) via output feedback. Time- and frequency-domain conditions are given to determine when and how this is possible. In addition, a synthesis procedure for controller design is also derived. Together, the results provide a complete answer to when a linear descriptor system can be made SPR via output feedback, and provide a recipe for design of a feedback controller when one exists.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • The Weighted Nearest Neighbor Estimate for Hammerstein System
           Identification
    • Authors: Włodzimierz Greblicki;Mirosław Pawlak;
      Pages: 1550 - 1565
      Abstract: This paper concerns the nonparametric identification problem for a class of nonlinear discrete-time dynamical systems that is characterized by its cascade structure. This is a Hammerstein system being a series connection of a nonlinear memoryless element followed by a linear dynamic system. The input-output training data generated from the system are dependent and they do not reveal the strong mixing property. The nonlinear part of the system is recovered with the weighted k-nearest neighbor regression estimate. The a priori information is nonparametric, both the nonlinear characteristic and the impulse response of the linear part are completely unknown and can be of any form. Local and global properties of the estimate are examined. Whatever the probability density of the input signal, the estimate converges at every continuity point of the characteristic as well as in the global sense. We derive the formulas for asymptotic bias and the variance and evaluate the corresponding rate of convergence. The convergence rate is independent of the shape of the input density and is proved to be optimal. These results allow us to find a set of optimal nonnegative weights that further improve the accuracy of our estimation algorithm. Our findings are supported by simulation experiments.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Markov Chains With Maximum Entropy for Robotic Surveillance
    • Authors: Mishel George;Saber Jafarpour;Francesco Bullo;
      Pages: 1566 - 1580
      Abstract: This paper provides a comprehensive analysis of the following optimization problem: Maximize the entropy rate generated by a Markov chain over a connected graph of order n and subject to a prescribed stationary distribution. First, we show that this problem is strictly convex with global optimum lying in the interior of the feasible space. Second, using Lagrange multipliers, we provide a closed-form expression for the maxentropic Markov chain as a function of an n-dimensional vector, referred to as the maxentropic vector; we provide a provably converging iteration to compute this vector. Third, we show that the maxentropic Markov chain is reversible, compute its entropy rate and describe special cases, among other results. Fourth, through analysis and simulations, we show that our proposed procedure is more computationally efficient than semidefinite programming methods. Finally, we apply these results to robotic surveillance problems. We show realizations of the maxentropic Markov chains over prototypical robotic roadmaps and find that maxentropic Markov chains outperform minimum mean hitting time Markov chains for the so-called “intelligent intruders” with short attack durations. A comprehensive analysis of the following optimization problem: maximize the entropy rate generated by a Markov chain over a connected graph of order n and subject to a prescribed stationary distribution.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Stabilization of MIMO Systems Over Multiple Independent and Memoryless
           Fading Noisy Channels
    • Authors: Qinyuan Liu;Wei Chen;Zidong Wang;Li Qiu;
      Pages: 1581 - 1594
      Abstract: This paper investigates the state feedback stabilizability problem for multi-input multi-output systems over memoryless fading noisy channels under stationary signal-to-noise ratio constraints. The channel is modeled as a cascade of a multiplicative noise and an additive white Gaussian noise. The aim of the addressed problem is to find the minimum overall quality of service required to render the stabilization possible. The essential idea of our approach is to view the stabilization from the perspective of a demand/supply balance. Specifically, each control input is considered as the demand side for communication resource while the channels are considered as the supply side. The supply resource of the channels is characterized by their respective quality of service. The stabilization of the networked systems requires the demand/supply balance of the communication resource. Depending on whether the channel resource is configurable or not, two different approaches are adopted for realizing the required balance. If the channel resource is configurable, one can tailor the supply to meet the demand via channel resource allocation; otherwise, one can shape the demand to meet the supply via certain transceivers design mechanism. Explicit conditions on the minimum overall quality of service for networked stabilization are established in both scenarios.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Event-Based Distributed Filtering Over Markovian Switching Topologies
    • Authors: Qinyuan Liu;Zidong Wang;Xiao He;Donghua Zhou;
      Pages: 1595 - 1602
      Abstract: In this paper, we consider the distributed filtering problem for continuous-time stochastic systems over sensor networks subject to Markovian switching topologies. Due to limited communication energy and bandwidth, an event-based communication scheme is proposed with the aim to decrease the transmission frequency. An individual triggering condition is put forward to regulate the communication rates for each component of the system state in order to better reflect the engineering requirements. The aim of this paper is to design a distributed filter over sensor networks with Markovian switching topologies such that the dynamics of the estimation error is exponentially mean-square bounded. It is shown that, with the proposed event-based distributed filtering algorithm, the exponential mean-square boundedness of the estimation errors is guaranteed if the sensor network is distributively detectable and the combined communication topology is strongly connected. A numerical example is presented to illustrate the usefulness of the developed algorithm.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Distributed Kalman Filtering Over Wireless Sensor Networks in the Presence
           of Data Packet Drops
    • Authors: Jianming Zhou;Guoxiang Gu;Xiang Chen;
      Pages: 1603 - 1610
      Abstract: We study distributed Kalman filtering over the wireless sensor network, where each sensor node is required to locally estimate the state of a linear time-invariant discrete-time system, using its own observations and those transmitted from its neighbors in the presence of data packet drops. This is an optimal one-step prediction problem under the framework of distributed estimation, assuming the TCP-like protocol. We first present the stationary distributed Kalman filter (DKF) that minimizes the local average error variance in the steady state at each sensor node, based on the stabilizing solution to the corresponding modified algebraic Riccati equation (MARE). The existence of the stabilizing solution to the MARE is addressed by adopting the stability margin, which can be computed by solving a set of linear matrix inequalities. Then, the Kalman consensus filter (KCF), consisting of the stationary DKF and a consensus term of prior estimates, is studied. Finally, the performance of the stationary DKF and KCF is illustrated by a numerical example.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Asymptotic Synchronization of Phase Oscillators With a Single Input
    • Authors: He Bai;John T. Wen;
      Pages: 1611 - 1618
      Abstract: We consider asymptotic synchronization of multiple phase oscillators represented by first-order reduced dynamics with a phase response curve (PRC) function. A single control input is employed to synchronize the oscillators. We design a feedback control that achieves asymptotic synchronization of the oscillators. We also show that the undesired equilibria of the closed-loop system are unstable, thereby guaranteeing almost global synchronization. We extend the design to address the scenarios where the control is symmetrically or asymmetrically bounded and where the coefficients in the PRC function are unknown constants. Simulation results are presented to validate the proposed control algorithms.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • A Sufficient Condition for Linear-Quadratic Stochastic Zero-Sum
           Differential Games for Markov Jump Systems
    • Authors: Jun Moon;
      Pages: 1619 - 1626
      Abstract: In this note, we consider the linear-quadratic stochastic zero-sum differential game (LQ-SZSDG) for the Markov jump system (MJS) driven by Brownian motion. Unlike previous work considered in the literature, the diffusion term of the MJS is dependent on the state and the control of both players, and the cost parameters need not be definite matrices. We obtain a sufficient condition under which a feedback saddle point for the LQ-SZSDG exists. We show that the corresponding feedback saddle point is linear in the state and can be characterized in terms of a set of coupled Riccati differential equations (CRDEs). We also discuss the solvability of the CRDEs and verify the solvability through numerical examples under the existence condition of the saddle point.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Inventory Control for a Coproduction System Under Demand Uncertainty
    • Authors: He Xu;Pengyu Chen;Yong Zhang;
      Pages: 1627 - 1631
      Abstract: We consider a coproduction system that uses a common input to produce multiple products in multiple periods. The demands for these products are stochastic in every period. We determine the optimal production plan in order to minimize the total expected discounted cost over a finite time horizon. Using L-convexity, we demonstrate that the optimal production quantity is state dependent and obeys several structural properties, such as monotonicity, threshold, and boundedness.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Verifiable Conditions for Discrete-Time Multioutput Observer Error
           Linearizability
    • Authors: Hong-Gi Lee;
      Pages: 1632 - 1639
      Abstract: In this technical note, we give (unverifiable) necessary and sufficient conditions, which are similar to the ones in the literature, for the discrete-time multioutput observer error linearization problem. Using these, we derive verifiable sufficient conditions. Since our proofs are constructive, a desired state transformation can also be found in the theorem.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Optimal Dynamic Allocation of Collaborative Servers in Two Station Tandem
           Systems
    • Authors: Ioannis Papachristos;Dimitrios G. Pandelis;
      Pages: 1640 - 1647
      Abstract: We consider two-stage tandem queueing systems with one dedicated server in each station and a flexible server that can serve both stations. We assume exponential service times, linear holding costs accrued by jobs present in the system, and a collaborative work discipline. We seek optimal server allocation strategies for systems without external arrivals (clearing systems). When the combined rate of collaborating servers is less than the sum of their individual rates (partial collaboration), we identify conditions under which the optimal server allocation strategy is non-idling and has a threshold-type structure. Our results extend previous work on systems with additive service rates. When the aforementioned conditions are not satisfied we show by examples that the optimal policy may have counterintuitive properties, which is not the case when a fully collaborative service discipline is assumed. We also obtain novel results for any type of collaboration when idling policies may be optimal.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Real-Time Solution of Time-Varying Yau Filtering Problems via Direct
           Method and Gaussian Approximation
    • Authors: Xiuqiong Chen;Ji Shi;Stephen S.-T. Yau;
      Pages: 1648 - 1654
      Abstract: Direct method for Yau filtering system has been studied since 1990s and all these work are limited in time-invariant systems. In this work, we extend the direct method so that it is applicable to time-varying cases. We need less assumptions compared with our previous work. The novelty of this work is that we propose several transformations on the forward Kolmogorov equation so that it can be solved by means of solving some ordinary differential equations if the initial distribution is Gaussian. The corresponding results for any non-Gaussian initial distributions can be obtained via Gaussian approximation. It can be seen that our new scheme direct method can treat nearly most general Yau filtering problems under natural assumptions. Our algorithm has been compared with the extended Kalman filter, multilevel particle filter, and ensemble Kalman filter by numerical examples and the simulation results show the efficiency of our method.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Fully Distributed Event-Triggered Protocols for Linear Multiagent Networks
    • Authors: Bin Cheng;Zhongkui Li;
      Pages: 1655 - 1662
      Abstract: This paper considers the distributed event-triggered consensus problem for general linear multiagent networks. Both the leaderless and leader-follower consensus problems are considered. Based on the local sampled state information, distributed adaptive event-triggered protocols are designed, which can ensure that the consensus of the agents is achieved, and the Zeno behavior is excluded by showing that the interval between any two triggering events is lower-bounded by a strictly positive value. Compared with the previous related works, our main contribution is that the proposed adaptive event-based protocols are fully distributed and scalable, which do not rely on any global information of the network graph and are independent of the network's scale. In these event-based protocols, continuous communications are not required for either control laws updation or triggering functions monitoring.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Model Reduction of Multiagent Systems Using Dissimilarity-Based Clustering
    • Authors: Xiaodong Cheng;Yu Kawano;Jacquelien M. A. Scherpen;
      Pages: 1663 - 1670
      Abstract: This technical note investigates a model reduction scheme for large-scale multiagent systems. The studied system is composed of identical linear subsystems interconnected by undirected weighted networks. To reduce the network complexity, a notion of nodal dissimilarity is established on the $mathcal {H}_2$-norms of transfer function deviations, and a new graph clustering algorithm is proposed to aggregate the pairs of nodes with smaller dissimilarities. The simplified system is verified to preserve an interconnection structure and the synchronization property. Moreover, a computable bound of the approximation error between the full-order and reduced-order models is provided, and the feasibility of the proposed approach is demonstrated by network examples.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • On the Asymptotic Behavior for Neutral Stochastic Differential Delay
           Equations
    • Authors: Huabin Chen;Chenggui Yuan;
      Pages: 1671 - 1678
      Abstract: This note investigates the existence and uniqueness as well as the stability of the general decay rate of the global solution for neutral stochastic differential equations with time-varying delay under a locally Lipschitz condition, a contractive condition, and a monotonicity condition. The stability results are derived by using the Lyapunov function approach and some stochastic analysis techniques, which not only cover the exponential stability in the pth(p > 0)-moment and the almost sure exponential stability, but also the polynomial stability in the pth(p > 0)-moment and the almost sure polynomial stability. Two examples including one coupled system consisting of a mass-spring-damper connected to a pendulum and the nonlinear external random force are given to illustrate the effectiveness of the obtained results.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Multiple-Model State Estimation Based on Variational Bayesian Inference
    • Authors: Yanjun Ma;Shunyi Zhao;Biao Huang;
      Pages: 1679 - 1685
      Abstract: In this paper, we propose a new approach to state estimation of multiple state-space models. Unlike the traditional methods (including the interacting multiple-model algorithm) that approximate a Gaussian mixture distribution with a single Gaussian distribution, the proposed method approximates the joint probability density functions of the state and model identity through Bayesian inference. It is shown that the proposed method reduces the approximation error considerably, and improves estimation accuracy without increasing computational cost. Analysis of its specific features as well as a potential extension is also presented. Numerical examples with a practically oriented simulation are employed to illustrate the effectiveness of the proposed method.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Prescribed Finite-Time Consensus Tracking for Multiagent Systems With
           Nonholonomic Chained-Form Dynamics
    • Authors: Boda Ning;Qing-Long Han;
      Pages: 1686 - 1693
      Abstract: This paper deals with the consensus tracking problem for a multiagent system with nonholonomic chained-form dynamics. A new distributed observer is first proposed for each follower to estimate the leader state and the leader input in a prescribed finite-time under both undirected and directed communication graphs. Then based on the observer and by adding a power integrator, a novel nonlinear protocol is designed such that the estimated leader state is tracked in a prescribed finite-time. Different from some existing finite-time consensus tracking approaches, an explicit bound without dependence on initial states is derived for the settling time. Therefore, in an unknown environment where initial conditions are unavailable, the proposed strategy is able to meet specific system requirements, e.g., a military target is tracked by a group of field robots in a prescribed time. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed protocol.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Continuous-Time Distributed Subgradient Algorithm for Convex Optimization
           With General Constraints
    • Authors: Yanan Zhu;Wenwu Yu;Guanghui Wen;Guanrong Chen;Wei Ren;
      Pages: 1694 - 1701
      Abstract: The distributed convex optimization problem is studied in this paper for any fixed and connected network with general constraints. To solve such an optimization problem, a new type of continuous-time distributed subgradient optimization algorithm is proposed based on the Karuch-Kuhn-Tucker condition. By using tools from nonsmooth analysis and set-valued function theory, it is proved that the distributed convex optimization problem is solved on a network of agents equipped with the designed algorithm. For the case that the objective function is convex but not strictly convex, it is proved that the states of the agents associated with optimal variables could converge to an optimal solution of the optimization problem. For the case that the objective function is strictly convex, it is further shown that the states of agents associated with optimal variables could converge to the unique optimal solution. Finally, some simulations are performed to illustrate the theoretical analysis.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • $H_2$ +Control+of+Linear+Systems+With+Mismatched+Quantization&rft.title=IEEE+Transactions+on+Automatic+Control&rft.issn=0018-9286&rft.date=2019&rft.volume=64&rft.spage=1702&rft.epage=1709&rft.aulast=Wang;&rft.aufirst=Mouquan&rft.au=Mouquan+Shen;Sing+Kiong+Nguang;Choon+Ki+Ahn;Qing-Guo+Wang;">Robust $H_2$ Control of Linear Systems With Mismatched Quantization
    • Authors: Mouquan Shen;Sing Kiong Nguang;Choon Ki Ahn;Qing-Guo Wang;
      Pages: 1702 - 1709
      Abstract: This paper is concerned with the H2 control of linear systems with multiple quantization channels. The quantization parameters of each channel are not required to be identical. The resultant mismatches are represented by polytopic uncertainties. A composite controller composed of linear and nonlinear parts is designed to meet the required H2 performance and offset the quantization error. Resorting to a vertex separation technique and Finsler lemma instead of matrix inverse operations, new synthesis conditions for the desired linear part are derived in terms of linear matrix inequalities, which are further extended to treat systems with norm-bounded uncertainties. A comparison of conservativeness between the proposed methods and the existing ones is demonstrated by two numerical examples.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Event-Triggered Control of Continuous-Time Switched Linear Systems
    • Authors: Xiaoqing Xiao;Lei Zhou;Daniel W. C. Ho;Guoping Lu;
      Pages: 1710 - 1717
      Abstract: In this paper, we consider the event-triggered control problem for continuous-time switched linear systems. It is assumed that only the sampled information of system state and switching signal is available to the controller at each sampling instant. Based on a mode-dependent event-triggered transmission scheme, the closed-loop system is modeled as a switched system with delayed state and augmented switching signal. Then, an exponential stability condition, characterized by the dwell time and average dwell time of the switching signal, is obtained. The condition presents an extension of the multiple Lyapunov functional method based stability analysis for sampled-data control of nonswitched system. Consequently, the design methods for state-feedback controller gains and event-triggered parameters are then formulated by the properly selected quadratic Lyapunov functional. The analysis results are significant and also lead to an important step to study the event-triggered control for switched system. Finally, based on the definition of event-trigger efficiency, the effectiveness and improvement of the proposed approach are illustrated by two numerical examples.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • ${text{2}}times+{text{2}}$ +Linear+Hyperbolic+System+With+a+Sampled-Data+Controller+via+Backstepping+Method+and+Looped-Functionals&rft.title=IEEE+Transactions+on+Automatic+Control&rft.issn=0018-9286&rft.date=2019&rft.volume=64&rft.spage=1718&rft.epage=1725&rft.aulast=Meglio;&rft.aufirst=Miguel&rft.au=Miguel+Angel+Davó;Delphine+Bresch-Pietri;Christophe+Prieur;Florent+Di+Meglio;">Stability Analysis of a ${text{2}}times {text{2}}$ Linear Hyperbolic
           System With a Sampled-Data Controller via Backstepping Method and
           Looped-Functionals
    • Authors: Miguel Angel Davó;Delphine Bresch-Pietri;Christophe Prieur;Florent Di Meglio;
      Pages: 1718 - 1725
      Abstract: This paper is concerned with the global exponential stability of a 2 X 2 linear hyperbolic system with a sampled-data boundary feedback control designed by means of the backstepping method for a nominal continuous input. We show that there exists a sufficiently small intersampling time (that encompasses both periodic and aperiodic sampling) for which the global exponential stability of the closed-loop system is guaranteed. In addition, we provide easily tractable sufficient stability conditions that can be used to find an upper bound of the maximum intersampling time. The results rely on the combination of the Lyapunov method and looped-functionals. The effectiveness of the proposed results is illustrated with a numerical example.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Analysis and Control of Stochastic Systems Using Semidefinite Programming
           Over Moments
    • Authors: Andrew Lamperski;Khem Raj Ghusinga;Abhyudai Singh;
      Pages: 1726 - 1731
      Abstract: This technical note develops a unified methodology for probabilistic analysis and optimal control design for jump diffusion processes defined by polynomials. The statistical moments of these systems can be described by a system of linear ordinary differential equations. Typically, however, the low-order moments depend on higher order moments, thus requiring an infinite system of equations to compute any moment exactly. Here, we develop a methodology for bounding statistical moments by using the higher order moments as inputs to an auxiliary convex optimal control problem with semidefinite constraints. For steady-state problems, the auxiliary optimal control problem reduces to a static semidefinite program. The method applies to both controlled and uncontrolled stochastic processes. For stochastic optimal control problems, the method gives bounds on achievable performance and can be used to compute approximately optimal solutions. For uncontrolled problems, both upper and lower bounds on desired moments can be computed. While the accuracy of most moment approximations cannot be quantitatively characterized, our method guarantees that the moment of interest is between the computed bounds.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Stochastic Source Seeking for Mobile Robots in Obstacle Environments Via
           the SPSA Method
    • Authors: Eduardo Ramírez-Llanos;Sonia Martínez;
      Pages: 1732 - 1739
      Abstract: This paper considers a class of stochastic source-seeking problems to drive a mobile robot to the minimizer of a source signal. Our approach is first analyzed in an obstacle-free scenario, where measurements of the signal at the robot location and information of a contact sensor are required. We extend our results to environments with obstacles under mild assumptions on the step size. Our approach builds on the simultaneous perturbation stochastic approximation idea to obtain information of the signal field. We prove the practical convergence of the algorithms to a ball whose size depends on the step size that contains the location of the source. The novelty relies in that we consider nondifferentiable convex functions, a fixed step size, and the environment may contain obstacles. Our proof methods employ nonsmooth Lyapunov function theory, tools from convex analysis, and stochastic difference inclusions. Finally, we illustrate the applicability of the proposed algorithms in a two-dimensional scenarios.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Convex Stability Analysis of Nonlinear Singular Systems via Linear Matrix
           Inequalities
    • Authors: Juan Carlos Arceo;Marcelino Sánchez;Victor Estrada-Manzo;Miguel Bernal;
      Pages: 1740 - 1745
      Abstract: Stability analysis of nonlinear singular systems, arising from differential algebraic equations, is addressed in this paper, exploiting the fact that it belongs to the class of Positvstellensatz problems. By means of the direct Lyapunov method and a variety of convex descriptor forms, sufficient conditions in terms of linear matrix inequalities are developed. Issues concerning proper initialization and simulation are also considered. Illustrative examples are provided.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Individual Regret Bounds for the Distributed Online Alternating Direction
           Method of Multipliers
    • Authors: Mohammad Akbari;Bahman Gharesifard;Tamás Linder;
      Pages: 1746 - 1752
      Abstract: We consider a distributed online optimization problem where, at each time, a group of agents choose their individual states, after which an individual cost function is revealed to each of them. The whole network then faces a regret according to the cumulative sum of costs incurred by the agents' chosen states, and each agent faces an individual regret according to the cumulative sum of costs incurred by the agent's state estimation, perceived as the whole network's chosen state. In order to tackle the minimization of the individual regret using only local information, we assume that the group of agents communicate over a fixed undirected connected graph. We then propose an online version of the alternating direction method of multipliers algorithm, distributed over the communication graph, which allows each agent to drive its individual average regret over time to zero.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Co-Design of Controllers and a Switching Policy for Nonstrict Feedback
           Switched Nonlinear Systems Including First-Order Feedforward Paths
    • Authors: Zhanjie Li;Jun Zhao;
      Pages: 1753 - 1760
      Abstract: This paper studies the stabilization problem via the co-design of controllers and a switching policy for a new class of nonstrict feedback switched nonlinear systems whose subsystems consist of a chain of integrators, feedback paths, and first-order feedforward paths. Designing only smooth feedback controllers cannot deal with the unstabilizable factors caused by feedforward paths. By exploiting the single control Lyapunov function method, an effective switching policy is co-designed to compensate the controllers. In addition, we present a generalized backstepping process, based on which the solvability of virtual controllers is guaranteed, the algebraic condition for stabilizability is identified, and the transient response of the closed-loop systems is improved. Two examples demonstrate the effectiveness.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Parameter Estimation in Switching Markov Systems and Unsupervised
           Smoothing
    • Authors: Fei Zheng;Stéphane Derrode;Wojciech Pieczynski;
      Pages: 1761 - 1767
      Abstract: Stationary jump Markov linear systems (JMLSs) model linear systems whose parameters evolve with time according to a hidden finite state Markov chain. We propose an algorithm for parameter estimation of a recent class of JMLS s called conditionally Gaussian pairwise Markov switching models (CGPMSMs). Our algorithm, named Double-EM (DEM), is based on the expectation-maximization (EM) principle applied twice sequentially. The first EM is applied to the couple (switches, observations) temporarily assumed to be a pairwise Markov chain. The second one is used to estimate the remaining conditional transitions and conditional noise matrices of the CGPMSM. The efficiency of the proposed algorithm is studied via unsupervised smoothing on simulated data. In particular, smoothing results, produced with CGPMSM in an unsupervised manner using DEM, can be more efficient than the ones obtained with the nearest classic conditionally Gaussian linear state-space model based on true parameters and true switches.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
  • Corrections to “On the Decidability and Complexity of Diagnosability for
           Labeled Petri Nets”
    • Authors: Xiang Yin;Stéphane Lafortune;
      Pages: 1768 - 1768
      Abstract: This note aims to correct a complexity result in our paper that investigates the verification of diagnosability for unbounded Petri nets. The main result of [1] is Theorem IV.1, which shows that the diagnosability verification problem can be reduced to a Petri net model checking problem called Yen's problem [2]. This main reduction is still correct. However, it was pointed out by Atig and Habermehl [3] that Yen's original complexity result is not completely correct 1. Specifically, they showed that: (i) in general, Yen's problem is still decidable, but it is as hard as the reachability problem, which corrects the original EXPSPACE-completeness claim in [2]; and (ii) for a special case called the increasing fragment, Yen's problem can be solved in EXPSPACE.
      PubDate: April 2019
      Issue No: Vol. 64, No. 4 (2019)
       
 
 
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