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  Subjects -> ELECTRONICS (Total: 188 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Acta Electronica Malaysia     Open Access  
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 7)
Advances in Electronics     Open Access   (Followers: 90)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Power Electronics     Open Access   (Followers: 38)
Advancing Microelectronics     Hybrid Journal  
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 336)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 26)
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: 14)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 30)
Bioelectronics in Medicine     Hybrid Journal  
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 20)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 38)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 13)
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: 9)
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: 293)
ECTI Transactions on Computer and Information Technology (ECTI-CIT)     Open Access  
ECTI Transactions on Electrical Engineering, Electronics, and Communications     Open Access  
Edu Elektrika Journal     Open Access   (Followers: 1)
Electrica     Open Access  
Electronic Design     Partially Free   (Followers: 117)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 97)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 100)
Electronics Letters     Hybrid Journal   (Followers: 26)
Elkha : Jurnal Teknik Elektro     Open Access  
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 55)
Energy Harvesting and Systems     Hybrid Journal   (Followers: 4)
Energy Storage Materials     Full-text available via subscription   (Followers: 3)
EPJ Quantum Technology     Open Access   (Followers: 1)
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: 205)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IACR Transactions on Symmetric Cryptology     Open Access  
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 99)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 80)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 49)
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: 72)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 71)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 58)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 26)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 42)
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: 78)
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 Energy Systems Integration     Open Access  
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 35)
IET Nanodielectrics     Open Access  
IET Power Electronics     Hybrid Journal   (Followers: 55)
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: 70)
Industrial Technology Research Journal Phranakhon Rajabhat University     Open Access  
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 35)
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: 11)
International Journal of Antennas and Propagation     Open Access   (Followers: 11)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 4)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 6)
International Journal of Control     Hybrid Journal   (Followers: 11)
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: 3)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Hybrid Intelligence     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 16)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 10)
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: 25)
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: 11)
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: 32)
Journal of Electrical Bioimpedance     Open Access  
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: 8)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 9)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 6)
Journal of Electronics (China)     Hybrid Journal   (Followers: 5)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Journal of Engineered Fibers and Fabrics     Open Access   (Followers: 2)
Journal of Field Robotics     Hybrid Journal   (Followers: 3)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 173)
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: 10)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 10)
Journal of Microelectronics and Electronic Packaging     Hybrid Journal  
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal   (Followers: 3)
Journal of Microwaves, Optoelectronics and Electromagnetic Applications     Open Access   (Followers: 11)
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: 29)
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 ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer     Open Access  
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: 6)
Microelectronics and Solid State Electronics     Open Access   (Followers: 27)
Nanotechnology Magazine, IEEE     Full-text available via subscription   (Followers: 41)
Nanotechnology, Science and Applications     Open Access   (Followers: 6)
Nature Electronics     Hybrid Journal   (Followers: 1)
Networks: an International Journal     Hybrid Journal   (Followers: 5)
Open Electrical & Electronic Engineering Journal     Open Access  
Open Journal of Antennas and Propagation     Open Access   (Followers: 9)
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: 2)
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)
Revue Méditerranéenne des Télécommunications     Open Access  
Security and Communication Networks     Hybrid Journal   (Followers: 2)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 56)
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: 78)
Solid State Electronics Letters     Open Access  
Solid-State Circuits Magazine, IEEE     Hybrid Journal   (Followers: 13)
Solid-State Electronics     Hybrid Journal   (Followers: 9)
Superconductor Science and Technology     Hybrid Journal   (Followers: 3)
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)
Transactions on Electrical and Electronic Materials     Hybrid Journal  
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 6)
Ural Radio Engineering Journal     Open Access  
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: 58  
  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: Sept. 2019
      Issue No: Vol. 64, No. 9 (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: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Scanning the Issue*
    • Pages: 3527 - 3528
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Distributed Flow Network Balancing With Minimal Effort
    • Authors: Gabriele Oliva;Apostolos I. Rikos;Christoforos N. Hadjicostis;Andrea Gasparri;
      Pages: 3529 - 3543
      Abstract: The flow network balancing problem, i.e., the problem of balancing the incoming and outgoing flows for each vertex of a directed graph, has been widely investigated with several distributed solutions being proposed in recent years. Flow balancing is crucial in several application domains, ranging from water and traffic networks to complex network synchronization and distributed adaptive networked control. In this paper, we focus on finding the solution for the flow network balancing problem that is optimal in a minimal effort sense. More specifically, we aim at modifying a given set of (unbalanced) flows so that we obtain a balanced solution. We assume that there is a (possibly heterogenous) cost associated to the unit variation of each flow, as well as lower and upper bounds on the peredge flows. More in detail, we first establish a necessary and sufficient optimality condition for network balancing and then propose a distributed protocol, demonstrating its convergence toward the global optimal solution. Simulation results are provided to corroborate the effectiveness of the proposed distributed algorithm.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Motion Planning on a Class of 6-D Lie Groups via a Covering Map
    • Authors: James Douglas Biggs;Helen Clare Henninger;
      Pages: 3544 - 3554
      Abstract: This paper presents an approach to motion planning for left-invariant kinematic systems defined on the six-dimensional frame bundles of symmetric spaces of constant cross-sectional curvature. A covering map is used to convert the original differential equation into two coupled equations each evolving on a three-dimensional Lie group. These lower dimensional systems lend themselves to a minimal global representation that avoids singularities associated with the use of exponential coordinates. Open-loop and closed-loop kinematic control problems are addressed to demonstrate the use of this mapping for analytical and numerical motion planning methods. The approach is applied to a spacecraft docking problem using two different types of actuation: 1) a fully actuated continuous low-thrust propulsion system; and 2) an underactuated single impulsive thruster and reaction wheel system.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Perturbation Theory and Singular Perturbations for Input-to-State
           Multistable Systems on Manifolds
    • Authors: Paolo Forni;David Angeli;
      Pages: 3555 - 3570
      Abstract: We consider the notion of input-to-state multistability, which generalizes input-to-state stability to nonlinear systems evolving on Riemannian manifolds and possessing a finite number of compact, globally attractive, invariant sets, and in addition satisfies a specific condition of acyclicity. We prove that a parameterized family of dynamical systems whose solutions converge to those of a limiting system inherits such input-to-state multistability property from the limiting system in a semiglobal practical fashion. A similar result is also established for singular perturbation models whose boundary-layer subsystem is uniformly asymptotically stable and whose reduced subsystem is input-to-state multistable. Known results in the theory of perturbations, singular perturbations, averaging, and highly oscillatory control systems are here generalized to the multistable setting by replacing the classical asymptotic stability requirement of a single invariant set with attractivity and acyclicity of a decomposable invariant one.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Time-Delay Origins of Fundamental Tradeoffs Between Risk of Large
           Fluctuations and Network Connectivity
    • Authors: Christoforos Somarakis;Yaser Ghaedsharaf;Nader Motee;
      Pages: 3571 - 3586
      Abstract: For the class of noisy time-delay linear consensus networks, we obtain explicit formulas for risk of large fluctuations of a scalar observable as a function of Laplacian eigenspectrum. It is shown that there is an intrinsic tradeoff between risk and effective resistance of the underlying coupling graph of the network. The main implication is that increasing network connectivity, increases the risk of large fluctuations. For vector-valued observables, we obtain computationally tractable lower and upper bounds for joint risk measures. Then, we study behavior of risk measures for networks with specific graph topologies and show how risk scales with the network size.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Switching Stochastic Approximation and Applications to Networked Systems
    • Authors: George Yin;Le Yi Wang;Thu Nguyen;
      Pages: 3587 - 3601
      Abstract: This paper investigates the interaction between control and communications in networked systems by studying a class of stochastic approximation algorithms that accommodate random network topology switching processes, time-varying functions, nonlinear dynamics, additive and nonadditive noises, and other uncertainties. Interaction among control strategy and the multiple stochastic processes introduces critical challenges in such problems. By modeling the random switching as a discrete-time Markov chain and studying multiple stochastic uncertainties in a unified framework, it is shown that under broad conditions, the algorithms are convergent. The performance of the algorithms is further analyzed by establishing their rate of convergence and asymptotic characterizations. Simulation case studies are conducted to evaluate the performance of the procedures in various aspects.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Inexact Newton–Kantorovich Methods for Constrained Nonlinear Model
           Predictive Control
    • Authors: Asen L. Dontchev;Mike Huang;Ilya V. Kolmanovsky;Marco M. Nicotra;
      Pages: 3602 - 3615
      Abstract: In this paper, we consider Newton–Kantorovich type methods for solving control-constrained optimal control problems that appear in model predictive control. Conditions for convergence are established for an inexact version of the Newton–Kantorovich method applied to variational inequalities. Based on these results, two groups of algorithms are proposed to solve the optimality system. The first group includes exact and inexact Newton and Newton–Kantorovich implementations of the sequential quadratic programming. In the second group, exact and inexact Newton and Newton–Kantorovich methods are developed for solving a nonsmooth normal map equation equivalent to the optimality system. Numerical simulations featuring examples from the aerospace and automotive domain are presented, which show that inexact Newton–Kantorovich type methods can achieve significant reduction of the computational time.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • A Principled Approximation Framework for Optimal Control of Semi-Markov
           Jump Linear Systems
    • Authors: Saeid Jafari;Ketan Savla;
      Pages: 3616 - 3631
      Abstract: We consider continuous-time, finite-horizon, optimal quadratic control of semi-Markov jump linear systems (S-MJLS), and develop principled approximations through Markov-like representations for the holding-time distributions. We adopt a phase-type approximation for holding-time distributions, which is known to be consistent, and translates an S-MJLS into a specific MJLS with partially observable modes (MJLSPOM), where the modes in a cluster have the same dynamic, the same cost weighting matrices, and the same control policy. For a general MJLSPOM, we give necessary and sufficient conditions for optimal (switched) linear controllers. When specialized to our particular MJLSPOM, we additionally establish the existence of an optimal linear controller, as well as its optimality within the class of general controllers satisfying standard smoothness conditions. The known equivalence between phase-type distributions and positive linear systems allows us to leverage existing modeling tools, but possibly with large computational costs. Motivated by this, we propose a matrix-exponential approximation of holding-time distributions, resulting in pseudo-MJLSPOM representation, wherein the transition rates could be negative. Such a representation is of relatively low order, and maintains the same optimality conditions as for the MJLSPOM representation, but could violate nonnegativity of holding-time density functions. A two-step procedure consisting of a local pulling-up modification and a filtering technique is constructed to enforce nonnegativity.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • State Classification and Multiclass Optimization of Continuous-Time and
           Continuous-State Markov Processes
    • Authors: Xi-Ren Cao;
      Pages: 3632 - 3646
      Abstract: We address the long-standing problem of state classification and multiclass optimization of the time-nonhomogeneous continuous-time and continuous-state Markov processes (CTCSMPs). The fundamental property required for state classification is weak ergodicity, with which the state space can be grouped into multiple classes of weak ergodic and branching states. The fundamental property for performance optimization is the state comparability. Optimality conditions are derived for long-run average problems for multiclass CTCSMPs; they take the same form as those for discrete-state Markov processes. It is shown that a stochastic diffusion process is separated by degenerate points into multiple classes. The results also cover the underselectivity issue for long-run average and optimization with nonsmooth value functions. The problem is solved by the relative optimization approach that has been successfully applied to many optimization problems that are not very amenable to dynamic programming.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Feedback Control of Nonlinear Hyperbolic PDE Systems Inspired by Traffic
           Flow Models
    • Authors: Iasson Karafyllis;Nikolaos Bekiaris-Liberis;Markos Papageorgiou;
      Pages: 3647 - 3662
      Abstract: This paper investigates and provides results, including feedback control, for a nonlinear, hyperbolic, one-dimensional partial differential equation (PDE) system on a bounded domain. The considered model consists of two first-order PDEs with a dynamic boundary condition on the one end and actuation on the other. It is shown that, for all positive initial conditions, the system admits a globally defined, unique, classical solution that remains positive and bounded for all times; these properties are important, for example for traffic flow models. Moreover, it is shown that global stabilization can be achieved for arbitrary equilibria by means of an explicit boundary feedback law. The stabilizing feedback law depends only on collocated boundary measurements. The efficiency of the proposed boundary feedback law is demonstrated by means of a numerical example of traffic density regulation.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Robust Compensation of Delay and Diffusive Actuator Dynamics Without
           Distributed Feedback
    • Authors: Ricardo Sanz;Pedro García;Miroslav Krstic;
      Pages: 3663 - 3675
      Abstract: This paper deals with robust observer-based output-feedback stabilization of systems whose actuator dynamics can be described in terms of partial differential equations (PDEs). More specifically, delay dynamics (first-order hyperbolic PDE) and diffusive dynamics (parabolic PDE) are considered. The proposed controllers have a PDE observer-based structure. The main novelty is that stabilization for an arbitrarily large delay or diffusion domain length is achieved, while distributed integral terms in the control law are avoided. The exponential stability of the closed loop in both cases is proved using Lyapunov functionals, even in the presence of small uncertainties in the time delay or the diffusion coefficient. The feasibility of this approach is illustrated in simulations using a second-order plant with an exponentially unstable mode.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Modeling and Control of Wave Propagation in a Ring With Applications to
           Power Grids
    • Authors: Lea Sirota;Anuradha M. Annaswamy;
      Pages: 3676 - 3689
      Abstract: This paper concerns the treatment of swing dynamics in a power grid using a continuous approach. Rather than addressing the problem as oscillations in a discrete system, we model the swing dynamics as a propagating electro-mechanical wave using a partial differential equation. A ring geometry with a one-dimensional wave equation is used to analyze the underlying dynamics. A control method is proposed to damp the system dynamics using the concept of Interior Wave Suppression. Unlike domains with boundaries such as strings, any concentrated input to the ring generates waves in two directions, thereby preventing total absorption. Using a judicious combination of concentrated control inputs, it is shown that a near unidirectional wave can be generated, with minimal backwaves. The resulting closed-loop system is proved to be stable. The overall modeling and control methods are shown to be implementable in a power grid using phasor measurement units as sensors and flexible ac transmission system devices, such as thyristor controlled series compensator, as actuators. How, the proposed methods of modeling and control can be applied to a network of rings is briefly discussed. Numerical simulations are carried out to validate the theoretical derivations.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Control Over Gaussian Channels With and Without Source–Channel
    • Authors: Anatoly Khina;Elias Riedel Gårding;Gustav M. Pettersson;Victoria Kostina;Babak Hassibi;
      Pages: 3690 - 3705
      Abstract: We consider the problem of controlling an unstable linear plant with Gaussian disturbances over an additive white Gaussian noise channel with an average transmit power constraint, where the signaling rate of communication may be different from the sampling rate of the underlying plant. Such a situation is quite common since sampling is done at a rate that captures the dynamics of the plant and that is often lower than the signaling rate of the communication channel. This rate mismatch offers the opportunity of improving the system performance by using coding over multiple channel uses to convey a single control action. In a traditional, separation-based approach to source and channel coding, the analog message is first quantized down to a few bits and then mapped to a channel codeword whose length is commensurate with the number of channel uses per sampled message. Applying the separation-based approach to control meets its challenges: first, the quantizer needs to be capable of zooming in and out to be able to track unbounded system disturbances, and second, the channel code must be capable of improving its estimates of the past transmissions exponentially with time, a characteristic known as anytime reliability. We implement a separated scheme by leveraging recently developed techniques for control over quantized-feedback channels and for efficient decoding of anytime-reliable codes. We further propose an alternative, namely, to perform analog joint source–channel coding, by this avoiding the digital domain altogether. For the case where the communication signaling rate is twice the sampling rate, we employ analog linear repetition as well as Shannon–Kotel’nikov maps to show a significant improvement in stability margins and linear-quadratic costs over separation-based schemes. We conclude that such analog coding performs better than separation, and can stabilize all moments as well as guarantee almost-sure-stability.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Stochastic Filtering of Max-Plus Linear Systems With Bounded Disturbances
    • Authors: Rafael Santos Mendes;Laurent Hardouin;Mehdi Lhommeau;
      Pages: 3706 - 3715
      Abstract: The objective of this paper is to propose a filtering strategy for max-plus linear systems with bounded disturbances without the direct calculation of the a posteriori state probability. The strategy is based on the inversion of the expectation of the measure with respect to the state variable. Among the possible solutions, the closest to the prediction is chosen. An algorithm, based on interval propagation, is proposed to solve this problem. Simulations are performed to show the consistence of the proposed methodology with other approaches in the literature.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • An LP Approach for Solving Two-Player Zero-Sum Repeated Bayesian Games
    • Authors: Lichun Li;Cedric Langbort;Jeff Shamma;
      Pages: 3716 - 3731
      Abstract: This paper studies two-player zero-sum repeated Bayesian games in which every player has a private type that is unknown to the other player, and the initial probability of the type of every player is publicly known. The types of players are independently chosen according to the initial probabilities, and are kept the same all through the game. At every stage, players simultaneously choose actions, and announce their actions publicly. For finite horizon cases, an explicit linear program is provided to compute players’ security strategies. Moreover, this paper shows that a player's sufficient statistics, which is independent of the strategy of the other player, consists of the belief over the player's own type, the regret over the other player's type, and the stage. Explicit linear programs, whose size is linear in the size of the game tree, are provided to compute the initial regrets, and the security strategies that only depends on the sufficient statistics. For discounted cases, following the same idea in the finite horizon, this paper shows that a player's sufficient statistics consists of the belief of the player's own type and the antidiscounted regret with respect to the other player's type. Besides, an approximated security strategy depending on the sufficient statistics is provided, and an explicit linear program to compute the approximated security strategy is given. This paper also obtains a bound on the performance difference between the approximated security strategy and the security strategy, and shows that the bound converges to 0 exponentially fast.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Transmission Scheduling for Remote State Estimation Over Packet Dropping
           Links in the Presence of an Eavesdropper
    • Authors: Alex S. Leong;Daniel E. Quevedo;Daniel Dolz;Subhrakanti Dey;
      Pages: 3732 - 3739
      Abstract: This paper studies transmission scheduling for remote state estimation in the presence of an eavesdropper. A sensor transmits local state estimates over a packet dropping link to a remote estimator, while an eavesdropper can successfully overhear each sensor transmission with a certain probability. The objective is to determine when the sensor should transmit, in order to minimize the estimation error covariance at the remote estimator, while trying to keep the eavesdropper error covariance above a certain level. This is done by solving an optimization problem that minimizes a linear combination of the expected estimation error covariance and the negative of the expected eavesdropper error covariance. Structural results on the optimal transmission policy are derived, and shown to exhibit thresholding behavior in the estimation error covariances. In the infinite horizon situation, it is shown that with unstable systems one can keep the expected estimation error covariance bounded while the expected eavesdropper error covariance becomes unbounded, for all eavesdropping probabilities strictly less than one.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Structural Controllability of Symmetric Networks
    • Authors: Tommaso Menara;Danielle S. Bassett;Fabio Pasqualetti;
      Pages: 3740 - 3747
      Abstract: The theory of structural controllability allows us to assess controllability of a network as a function of its interconnection graph and independently of the edge weights. Yet, existing structural controllability results require the weights to be selected arbitrarily and independently from one another and provide no guarantees when these conditions are not satisfied. In this note, we develop a new theory for structural controllability of networks with symmetric, thus constrained, weights. First, we show that network controllability remains a generic property even when the weights are symmetric. Then, we characterize necessary and sufficient graph-theoretic conditions for structural controllability of networks with symmetric weights: a symmetric network is structurally controllable if and only if it is structurally controllable without weight constraints. Finally, we use our results to assess structural controllability from one region of a class of empirically-reconstructed brain networks.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • A Sampled-Data Approach to Pyragas-Type Delayed Feedback Stabilization of
           Periodic Orbits
    • Authors: Ahmet Cetinkaya;Tomohisa Hayakawa;
      Pages: 3748 - 3755
      Abstract: A sampled-data Pyragas-type delayed feedback control framework is proposed for stabilizing both periodic solutions of linear periodic systems and unstable periodic orbits of nonlinear systems. The proposed framework uses the difference between two consecutive samples of the state as a feedback input. Furthermore, the controller is turned on and off periodically in an alternating fashion, allowing one to obtain a monodromy matrix for the closed-loop system. Asymptotic behavior of the closed-loop system state trajectories is investigated through an analysis of the obtained monodromy matrix. Then, an efficient feedback gain design method is developed by exploiting the properties of the monodromy matrix. Finally, the efficacy of the proposed framework is demonstrated with a numerical example.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Primal-Dual Q-Learning Framework for LQR Design
    • Authors: Donghwan Lee;Jianghai Hu;
      Pages: 3756 - 3763
      Abstract: Recently, reinforcement learning (RL) is receiving more and more attentions due to its successful demonstrations outperforming human performance in certain challenging tasks. The goal of this paper is to study a new optimization formulation of the linear quadratic regulator (LQR) problem via the Lagrangian duality theories in order to lay theoretical foundations of potentially effective RL algorithms. The new optimization problem includes the Q-function parameters so that it can be directly used to develop Q-learning algorithms, known to be one of the most popular RL algorithms. We prove relations between saddle-points of the Lagrangian function and the optimal solutions of the Bellman equation. As an example of its applications, we propose a model-free primal-dual Q-learning algorithm to solve the LQR problem and demonstrate its validity through examples.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Stabilization of Stochastic Nonlinear Delay Systems With Exogenous
           Disturbances and the Event-Triggered Feedback Control
    • Authors: Quanxin Zhu;
      Pages: 3764 - 3771
      Abstract: This note is devoted to study the stabilization problem of stochastic nonlinear delay systems with exogenous disturbances and the event-triggered feedback control. By introducing the notation of input-to-state practical stability and an event-triggered strategy, we establish the input-to-state practically exponential mean-square stability of the suggested system. Moreover, we investigate the stabilization result by designing the feedback gain matrix and the event-triggered feedback controller, which is expressed in terms of linear matrix inequalities. Also, the lower bounds of interexecution times by the proposed event-triggered control method are obtained. Finally, an example is given to show the effectiveness of the proposed method. Compared with a large number of results for discrete-time stochastic systems, only a few results have appeared on the event-triggered control for continuous-time stochastic systems. In particular, there have been no published papers on the event-triggered control for continuous-time stochastic delay systems. This note is a first try to fill the gap on the topic.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Resilient Distributed Estimation: Sensor Attacks
    • Authors: Yuan Chen;Soummya Kar;José M. F. Moura;
      Pages: 3772 - 3779
      Abstract: This paper studies multiagent distributed estimation under sensor attacks. Individual agents make sensor measurements of an unknown parameter belonging to a compact set, and, at every time step, a fraction of the agents’ sensor measurements may fall under attack and take arbitrary values. We present the saturated innovation update ($mathcal{SIU}$) algorithm for distributed estimation resilient to sensor attacks. Under the iterative $mathcal{SIU}$ algorithm, if less than one half of the agent sensors fall under attack, then, all of the agents’ estimates converge at a polynomial rate (with respect to the number of iterations) to the true parameter. The resilience of $mathcal{SIU}$ to sensor attacks does not depend on the topology of the interagent communication network, as long as it remains connected. We demonstrate the performance of $mathcal{SIU}$ with numerical examples.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Bounds on Delay Consensus Margin of Second-Order Multiagent Systems With
           Robust Position and Velocity Feedback Protocol
    • Authors: Dan Ma;Rui Tian;Adil Zulfiqar;Jie Chen;Tianyou Chai;
      Pages: 3780 - 3787
      Abstract: This paper studies the delay consensus margin and its bounds for second-order multiagent systems to achieve robust consensus with respect to uncertain delays varying within a range. This paper attempts to answer the question: What is the largest delay range within which a control protocol is able to achieve and maintain the consensus' We consider second-order agents with unstable poles, which communicate over an undirected network topology, and derive explicit bounds on the delay consensus margin. The results show that the consensuability robustness of such unstable agents depends on the pole locations of the agents, as well as on the eigenratio of the network graph.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Dual-Objective NMPC: Considering Economic Costs Near Manifolds
    • Authors: Niels van Duijkeren;Timm Faulwasser;Goele Pipeleers;
      Pages: 3788 - 3795
      Abstract: This paper presents a dual-objective nonlinear model predictive control (NMPC) algorithm for stabilizing a target neighborhood of a state-space manifold of a nonlinear dynamical system and for concurrently optimizing an economic objective in this neighborhood. The control design is based on the transverse normal form description of the system dynamics. The NMPC scheme solves two optimal control problems (OCPs) in sequence, the first (transversal) OCP provides conditions for the convergence to the target neighborhood. The second (tangential) OCP optimizes the economic objective without compromising the convergence. The stability and performance properties of the resulting control scheme are discussed and its efficacy is illustrated in a tutorial example.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • On Constructing Multiple Lyapunov Functions for Tracking Control of
           Multiple Agents With Switching Topologies
    • Authors: Guanghui Wen;Wei Xing Zheng;
      Pages: 3796 - 3803
      Abstract: Distributed consensus tracking for linear multiagent systems (MASs) with directed switching topologies and a dynamic leader is investigated in this paper. By fully considering the special feature of Laplacian matrices for topology candidates, several new classes of multiple Lyapunov functions (MLFs) are constructed in this paper for leader-following MASs with, respectively, an autonomous leader and a nonautonomous leader. Under the condition that each possible topology graph contains a spanning tree rooted at the leader node, some efficient criteria for achieving consensus tracking in the considered MASs are provided. Specifically, it is proven that consensus tracking in the closed-loop MASs can be ensured if the average dwell time for switching among different topologies is larger than a derived positive quantity and the control parameters in tracking protocols are appropriately designed. It is further theoretically shown that the present Lyapunov inequality based criteria for consensus tracking with an autonomous leader are much less conservative than the existing ones derived by the $M$-matrix theory. The results are then extended to the case where the topology graph only frequently contains a directed spanning tree as the MASs evolve over time. At last, numerical simulations are performed to illustrate the effectiveness of the analytical analysis and the advantages of the proposed MLFs.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Noise-Induced Synchronization of Hegselmann–Krause Dynamics in Full
    • Authors: Wei Su;Jin Guo;Xianzhong Chen;Ge Chen;
      Pages: 3804 - 3808
      Abstract: The Hegselmann–Krause (HK) model is a typical self-organizing system with local rule dynamics. In spite of its widespread use and numerous extensions, the underlying theory of its synchronization induced by noise still needs to be developed. In its original formulation, as a model first proposed to address opinion dynamics, its state-space was assumed to be bounded, and the theoretical analysis of noise-induced synchronization for this particular situation has been well established. However, when system states are allowed to exist in an unbounded space, mathematical difficulties arise, whose theoretical analysis becomes nontrivial and is as such still lacking. In this paper, we completely resolve this problem by exploring the topological properties of HK dynamics and employing the theory of independent stopping time. The associated result in full state-space provides a solid interpretation of the randomness-induced synchronization of self-organizing systems.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • A Backstepping Boundary Observer for a Simply Supported Beam
    • Authors: Dimitri Karagiannis;Verica Radisavljevic-Gajic;
      Pages: 3809 - 3816
      Abstract: This paper presents the development of a full-state observer for an Euler-Bernoulli beam system with simply supported boundary conditions. This problem is motivated by the necessity of estimators in control and diagnostic applications. The observer is developed using a backstepping procedure. The full state observer cannot be completed with a single observer system, and hence this paper presents the synthesis of two observer structures that together provide the desired convergence. The necessary feedback information is limited to the slope and the sheer force of the beam at one boundary, which are practically measurable values on a physical system. The observer estimates the full infinite dimensional beam system without any discretization of the model. The result of the technique developed in this paper is that the infinite dimensional observer estimates converge to the plant system states (representing the actual beam displacement) at an arbitrary exponential rate; numerical simulation results validating this behavior are provided.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Distributed Interpolatory Algorithms for Set Membership Estimation
    • Authors: Francesco Farina;Andrea Garulli;Antonio Giannitrapani;
      Pages: 3817 - 3822
      Abstract: This paper addresses the distributed estimation problem in a set membership framework. The agents of a network collect measurements which are affected by bounded errors, thus implying that the unknown parameters to be estimated belong to a suitable feasible set. Two distributed algorithms are considered, based on projections of the estimate of each agent onto its local feasible set. The main contribution of the paper is to show that such algorithms are asymptotic interpolatory estimators, i.e., they converge to an element of the global feasible set, under the assumption that the feasible set associated to each measurement is convex. The proposed techniques are demonstrated on a distributed linear regression estimation problem.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Tree-Based Algorithms for the Stability of Discrete-Time Switched Linear
           Systems Under Arbitrary and Constrained Switching
    • Authors: Fabio Dercole;Fabio Della Rossa;
      Pages: 3823 - 3830
      Abstract: We present a direct approach to study the stability of discrete-time switched linear systems that can be applied to arbitrary switching, as well as when switching is constrained by a switching automaton. We explore the tree of possible matrix products, by pruning the subtrees rooted at contractions and looking for unstable repeatable products. Generically, this simple strategy either terminates with all contracting leafs—showing the system's asymptotic stability—or finds the shortest unstable and repeatable matrix product. Although it behaves in the worst case as the exhaustive search, we show that its performance is greatly enhanced by measuring contractiveness w.r.t. sum-of-squares polynomial norms, optimized to minimize the largest expansion among the system's modes.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Model Predictive Control of Linear Systems With Preview Information:
           Feasibility, Stability, and Inherent Robustness
    • Authors: Pablo Rodolfo Baldivieso Monasterios;Paul Anthony Trodden;
      Pages: 3831 - 3838
      Abstract: The use of available disturbance predictions within a nominal model predictive control formulation is studied. The main challenge that arises is the loss of recursive feasibility and stability guarantees when a persistent disturbance is present in the model and on the system. We show how standard stabilizing terminal conditions may be modified to account for the use of disturbances in the prediction model. Robust stability and feasibility are established under the assumption that the disturbance change across sampling instances is limited.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Dead-Beat Stabilizability of Discrete-Time Switched Linear Systems:
           Algorithms and Applications
    • Authors: Mirko Fiacchini;Gilles Millérioux;
      Pages: 3839 - 3845
      Abstract: This paper deals with the dead-beat stabilizability of autonomous discrete-time switched linear systems. Based on a constructive necessary and sufficient condition for dead-beat stabilizability, we propose two algorithms. The first one is concerned with the problem of testing dead-beat stabilizability and computing the shorter stabilizing mode sequence, whenever it exists. The other one implements a method to construct a switched system whose shorter dead-beat stabilizing sequence has a prescribed length. Then, we present numerical assessments and possible applications.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • A Convex Optimization Approach for Equivariant Control Systems
    • Authors: Luca Consolini;Mario Tosques;
      Pages: 3846 - 3852
      Abstract: A system is called equivariant if it is invariant with respect to a set of coordinate transformations associated to the elements of a multiplicative group. One established fact of the theory of equivariant systems is that various control problems can be solved by a generic controller if and only if they can be solved with a controller that satisfies the same invariance properties of the system. In this note, we show that this is true for all control tasks that can be obtained as a solution of an equivariant convex optimization problem and present some applications related to state and output feedback stabilization and decentralized control.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • On Survival of All Agents in A Network With Cooperative and Competitive
    • Authors: Shidong Zhai;Wei Xing Zheng;
      Pages: 3853 - 3860
      Abstract: This technical note investigates the survival problem for the generalized Verhulst–Lotka–Volterra (VLV) model with cooperative and competitive interactions. First, we consider the generalized VLV model in which every agent has an individual capacity. The cooperative and competitive interactions are allowed to coexist in this model. We obtain some sufficient conditions such that the VLV model is survival. Then, we consider this generalized VLV model with a special network structure in which cooperative and competitive interactions coexist. For this special model, we show that the VLV model is survival for any admissible parameters. Second, we consider the generalized VLV model in which there exists a market capacity and there exist no competitive interactions. For this model, some sufficient conditions are derived for survival of all agents. Finally, the obtained results are confirmed through three numerical examples.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • State Estimation Under Sparse Sensor Attacks: A Constrained Set
           Partitioning Approach
    • Authors: Liwei An;Guang-Hong Yang;
      Pages: 3861 - 3868
      Abstract: State estimation from the sparsely corrupted measurements, a combinatorial problem, has been addressed by brute force search or convex relaxations in the literature. However, the computational efficiency and estimation correctness of these methods cannot be simultaneously guaranteed. This paper studies how to relieve the computational complexity on the premise of the estimation correctness. A novel algorithm based on a constrained set partitioning approach is presented. The computational efforts are alleviated by drastically reducing the search space, and the estimation correctness is guaranteed in terms of the existence of a solution for a set of linear matrix inequalities. The theoretical results are substantiated by simulating two numerical examples.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Fast ADMM for Sum-of-Squares Programs Using Partial Orthogonality
    • Authors: Yang Zheng;Giovanni Fantuzzi;Antonis Papachristodoulou;
      Pages: 3869 - 3876
      Abstract: When sum-of-squares (SOS) programs are recast as semidefinite programs (SDPs) using the standard monomial basis, the constraint matrices in the SDP possess a structural property that we call partial orthogonality. In this paper, we leverage partial orthogonality to develop a fast first-order method, based on the alternating direction method of multipliers (ADMM), for the solution of the homogeneous self-dual embedding of SDPs describing SOS programs. Precisely, we show how a “diagonal plus low rank” structure implied by partial orthogonality can be exploited to project efficiently the iterates of a recent ADMM algorithm for generic conic programs onto the set defined by the affine constraints of the SDP. The resulting algorithm, implemented as a new package in the solver CDCS, is tested on a range of large-scale SOS programs arising from constrained polynomial optimization problems and from Lyapunov stability analysis of polynomial dynamical systems. These numerical experiments demonstrate the effectiveness of our approach compared to common state-of-the-art solvers.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • A Classification of Nodes for Structural Controllability
    • Authors: Christian Commault;Jacob van der Woude;
      Pages: 3877 - 3882
      Abstract: In this paper, we consider (large and complex) interconnected networks. We assume that each state/node, not belonging to a set of forbidden nodes of the network, can be selected to act as a steering node, meaning that such a node then is influenced by its own individual control. We aim to achieve structural controllability and we present a classification of the associated steering nodes as being essential (always required to be present), useful (present in certain configurations), and useless (never necessary in whatever configuration). The classification is based on two types of decomposition that naturally show up in the context of the two conditions (connection condition and rank condition) for structural controllability. The underlying methods are related to well known and efficient network algorithms.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Stochastic MPC for Additive and Multiplicative Uncertainty Using Sample
    • Authors: James Fleming;Mark Cannon;
      Pages: 3883 - 3888
      Abstract: We introduce an approach for model predictive control (MPC) of systems with additive and multiplicative stochastic uncertainty subject to chance constraints. Predicted states are bounded within a tube and the chance constraint is considered in a “one step ahead” manner, with robust constraints applied over the remainder of the horizon. The online optimization is formulated as a chance-constrained program that is solved approximately using sampling. We prove that if the optimization is initially feasible, it remains feasible and the closed-loop system is stable. Applying the chance-constraint only one step ahead allows us to state a confidence bound for satisfaction of the chance constraint in closed-loop. Finally, we demonstrate by example that the resulting controller is only mildly more conservative than scenario MPC approaches that have no feasibility guarantee.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Fully Distributed Formation-Containment Control of Heterogeneous Linear
           Multiagent Systems
    • Authors: Wei Jiang;Guoguang Wen;Zhaoxia Peng;Tingwen Huang;Ahmed Rahmani;
      Pages: 3889 - 3896
      Abstract: This technical note addresses the distributed time-varying formation-containment control problem for heterogeneous general linear multiagent systems (the virtual leader, multileaders, and followers) based on the output regulation framework from an observer viewpoint under the directed topology, which contains a spanning tree. All agents can have different dynamics and different state dimensions. A new format of time-varying formation (TVF) shape is proposed. The multileaders are required to achieve the TVF with tracking the virtual leader, whose output is only available to a subset of them, and only need to send the information of their designed observers and TVF shapes to their neighboring followers. A new class of distributed adaptive observer-based controllers is designed with the mild assumption that both leaders and followers are introspective (i.e., agents have knowledge of their own outputs). Compared with the existing works, one main contribution is that the controllers are fully distributed with the proposition of TVF shapes. The simulation to multivehicle systems is also provided to verify the effectiveness of theoretical results.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • A Small-Gain Theorem in the Absence of Strong iISS
    • Authors: Hiroshi Ito;Christopher M. Kellett;
      Pages: 3897 - 3904
      Abstract: Previous small-gain results for interconnected integral input-to-state (iISS) systems have been restricted to systems that are strongly iISS. This paper removes this restriction by allowing cross terms between external inputs and states in the Lyapunov decrease of component systems, and subsequently constructing a nonseparable Lyapunov function. An example demonstrates the use of this new small-gain formulation.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Prescribed-Time Observers for Linear Systems in Observer Canonical Form
    • Authors: John Holloway;Miroslav Krstic;
      Pages: 3905 - 3912
      Abstract: For linear systems in the observer canonical form, we introduce a state observer with time-varying gains that tend to infinity as time approaches a prescribed convergence time. The observer is shown to exhibit fixed-time stability with an arbitrary convergence time, which is prescribed by the user irrespective of initial conditions. The output estimation error injection terms are also shown to remain uniformly bounded and converge to zero at the prescribed time.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • ISS Robust Stabilization of State-Delayed Discrete-Time Systems With
           Bounded Delay Variation and Saturating Actuators
    • Authors: Carla de Souza;Valter J. S. Leite;Luis F. P. Silva;Eugenio B. Castelan;
      Pages: 3913 - 3919
      Abstract: We address the problem of robust input-to-state stabilization of parameter-varying discrete-time systems with time-varying state delay, saturating actuators, and subject to $ell _2$-limited disturbance. It is assumed that the delay belongs to a known interval and its maximum variation between two consecutive instants is taken into account. The proposed convex delay-dependent conditions for the synthesis of robust state feedback controllers ensure local input-to-state stability of the closed-loop system for a set of initial conditions and for energy-bounded disturbance signals. However, the computed controllers do not require the real-time knowledge of the delay. The approach is based on the rewriting of the saturating and delayed system in terms of a switching uncertain augmented delay-free system with a dead-zone nonlinearity and on the application of the generalized sector condition. To illustrate the efficiency of our approach, we compare it by means of numerical examples with others found in the literature.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Practical Tracking Via Adaptive Event-Triggered Feedback for Uncertain
           Nonlinear Systems
    • Authors: Yaxin Huang;Yungang Liu;
      Pages: 3920 - 3927
      Abstract: This paper addresses the event-triggered tracking for a class of uncertain nonlinear systems. Essentially different from the related works, the nonlinear systems allow serious (parametric) uncertainties, while no further a priori information, excepting some coarse information, is required on the reference signal to be tracked. This makes event-triggered control more challenging, partially because the sampling error cannot be precisely bounded any more. As main contributions of this paper, new adaptive event-triggered tracking schemes are proposed for the systems in two event-triggering architectures with different roles of the event-triggering mechanism on the information transmitting and control computing/updating. Much importantly, a dynamic gain is incorporated in either scheme not only to counteract the serious uncertainties, but also to overcome the bad influence of the sampling error. Based on the dynamic gain, two adaptive event-triggered controllers are designed with distinct event-triggering mechanisms, respectively. Particularly, to ensure application flexibility, one of the triggering mechanisms is rendered relatively independent of the controller signal. The designed event-triggered controllers are shown to achieve the practical tracking for the systems, that is, the prespecified arbitrary tracking accuracy can be guaranteed (a comparable objective to that via continuous-time control), while avoiding infinitely fast sampling/execution.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Stability Analysis of Impulsive Switched Time-Delay Systems With
           State-Dependent Impulses
    • Authors: Wei Ren;Junlin Xiong;
      Pages: 3928 - 3935
      Abstract: This paper studies the stability for impulsive switched time-delay systems with state-dependent impulses. Since the impulses and the switches are not necessarily synchronous, we start from a stability analysis of impulsive switched time-delay systems with time-dependent impulses. Sufficient conditions are derived to guarantee the stability property, which extends the previous results for the synchronous switch and impulse case. For the state-dependent impulse case, using the B-equivalent method, impulsive switched time-delay systems with state-dependent impulses are transformed into impulsive switched time-delay systems with time-dependent impulses. The equivalence between the original system and the transformed system is established, and stability conditions are obtained for impulsive switched time-delay systems with state-dependent impulses. Finally, a numerical example is given to demonstrate the obtained results.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Output-Constrained Control of Nonaffine Multiagent Systems With Partially
           Unknown Control Directions
    • Authors: Bo Fan;Qinmin Yang;Sarangapani Jagannathan;Youxian Sun;
      Pages: 3936 - 3942
      Abstract: In this paper, an output-constrained control algorithm is presented for the consensus control of a class of unknown nonaffine multiagent systems (MASs) with partially unknown control directions. Our contribution includes a step forward beyond the usual consensus stabilization result to show that the outputs of agents remain within user-defined time-varying constraints. To achieve the new results, an error transformation technique is established to generate an equivalent MAS from the original one. Stabilization and consensus of the transformed agent states ensure both the satisfaction of the time-varying constraints and the consensus of the original agent states. Based on the Nussbaum gain technique, the unknown control direction problem is solved. By the Lyapunov synthesis, the asymptotic consensus result and the satisfaction of the output constraints are theoretically proved, along with all the closed-loop signals being bounded. Additionally, the developed consensus controller is distributed since each agent only exchanges information with its neighbors. Finally, simulations on a nonaffine MAS demonstrate the effectiveness of the proposed control scheme.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Two-Dimensional Sliding Mode Control of Discrete-Time
           Fornasini–Marchesini Systems
    • Authors: Rongni Yang;Wei Xing Zheng;
      Pages: 3943 - 3948
      Abstract: This paper is concerned with the problem of discrete-time two-dimensional (2-D) sliding mode control (SMC) for Fornasini–Marchesini (FM) systems subject to exogenous nonlinear disturbances. With the introduction of the time instant and global state in the 2-D case, the discrete-time sliding surface function for 2-D systems is constructed. Then, based on the corresponding sliding mode dynamics, the solvability condition for the desired sliding surface function is derived. Subsequently, a sliding mode controller is designed to guarantee that the state trajectories can enter into a neighborhood of the specified sliding surface. Meanwhile, the stability of the 2-D sliding mode dynamics is also ensured. Finally, a simulation example is provided to illustrate the feasibility and the effectiveness of the presented new 2-D SMC design method. Different from existing results, the proposal focuses on the features of multi-dimension and the dynamics of 2-D systems, which is expected to develop a completely different SMC design approach for discrete-time 2-D systems.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Secure Switched Observers for Cyber-Physical Systems Under Sparse Sensor
           Attacks: A Set Cover Approach
    • Authors: An-Yang Lu;Guang-Hong Yang;
      Pages: 3949 - 3955
      Abstract: Secure state estimation for cyber-physical systems under sparse sensor attacks is the problem of estimating the state from the corrupted measurements. Although such problem can be addressed by brute force search, combinatorial candidates lead to excessive time requirement, which hinders the scalability. For reducing the computational complexity, this paper provides an alternative approach (called set cover approach) to reduce the number of candidates by at least half with the help of a greedy algorithm. Then, a switched observer, with less candidate observers, is designed to estimate the state from the corrupted measurements under the basic observability requirement. Meanwhile, a modified greedy algorithm is proposed to reduce the number of candidates further based on the observer design conditions. Finally, the effectiveness of the proposed set cover approach is demonstrated by two simulations showing an order of magnitude decrease in execution time.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Sparsest Feedback Selection for Structurally Cyclic Systems With Dedicated
           Actuators and Sensors in Polynomial Time
    • Authors: Shana Moothedath;Prasanna Chaporkar;Madhu N. Belur;
      Pages: 3956 - 3963
      Abstract: This paper deals with optimal feedback selection problem in linear time-invariant (LTI) structured systems for arbitrary pole placement, an important open problem in structured systems. Specifically, we solve the sparsest feedback selection problem for LTI structured systems. In this paper, we consider structurally cyclic systems with dedicated inputs and outputs. For this class of systems, we prove that the sparsest feedback selection problem is equivalent to the strong connectivity augmentation problem in graph theory. We present an $O(n^2)$ algorithm to find a sparsest feedback matrix for structured systems when every state is actuated by a dedicated input and every state is sensed by a dedicated output, where $n$ denotes the number of states in the system. If the inputs and the outputs are such that not every state is actuated by a dedicated input and/or not every state is sensed by a dedicated output, then we provide an $O(n^3)$ algorithm for the sparsest feedback selection problem. These results show that sparsest feedback selection with dedicated i/o is a specific case of the optimal feedback selection problem that is solvable in polynomial time. We later analyze the sparsest feedback selection problem for structurally cyclic systems when both the input and the output are dedicated and the feedback pattern is constrained. When some of the feedback links are forbidden, we prove that the problem is NP-hard. The results in this paper along with the previously known results conclude that the optimal feedback selection problem is polynomial-time solvable only for the dedicated input–output case without forbidden feedback links and also without weights for the feedback -inks.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
  • Introducing IEEE Collabratec
    • Pages: 3964 - 3964
      Abstract: Advertisement, IEEE.
      PubDate: Sept. 2019
      Issue No: Vol. 64, No. 9 (2019)
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