for Journals by Title or ISSN
for Articles by Keywords
help

 A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

       | Last   [Sort by number of followers]   [Restore default list]

  Subjects -> ELECTRONICS (Total: 186 journals)
Showing 1 - 200 of 277 Journals sorted alphabetically
Acta Electronica Malaysia     Open Access  
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 6)
Advances in Electronics     Open Access   (Followers: 89)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Power Electronics     Open Access   (Followers: 35)
Advancing Microelectronics     Hybrid Journal  
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 330)
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: 29)
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: 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: 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: 287)
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: 116)
Electronic Markets     Hybrid Journal   (Followers: 7)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Electronics     Open Access   (Followers: 96)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 10)
Electronics For You     Partially Free   (Followers: 99)
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: 202)
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: 71)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 70)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 57)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 26)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 41)
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: 75)
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: 51)
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: 69)
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: 10)
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: 15)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 8)
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: 31)
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: 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: 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: 171)
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: 10)
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: 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: 5)
Microelectronics and Solid State Electronics     Open Access   (Followers: 26)
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: 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)
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: 55)
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: 77)
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)
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  

       | Last   [Sort by number of followers]   [Restore default list]

Similar Journals
Journal Cover
IEEE Transactions on Automatic Control
Journal Prestige (SJR): 3.433
Citation Impact (citeScore): 6
Number of Followers: 57  
 
  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: Aug. 2019
      Issue No: Vol. 64, No. 8 (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: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Scanning the Issue*
    • Pages: 3083 - 3084
      Abstract: Summary form only. Provides an overview of the technical articles and features of interest to readers that appear outside of this publication.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Generalized Sarymsakov Matrices
    • Authors: Weiguo Xia;Ji Liu;Ming Cao;Karl Henrik Johansson;Tamer Başar;
      Pages: 3085 - 3100
      Abstract: Within the set of stochastic, indecomposable, aperiodic (SIA) matrices, the class of Sarymsakov matrices is the largest known subset that is closed under matrix multiplication, and more critically whose compact subsets are all consensus sets. This paper shows that a larger subset with these two properties can be obtained by generalizing the standard definition for Sarymsakov matrices. The generalization is achieved by introducing the notion of the SIA index of a stochastic matrix, whose value is 1 for Sarymsakov matrices, and then exploring those stochastic matrices with larger SIA indices. In addition to constructing the larger set, this paper introduces another class of generalized Sarymsakov matrices, which contains matrices that are not SIA, and studies their products. Sufficient conditions are provided for an infinite product of matrices from this class, converging to a rank-one matrix. Finally, as an application of the results just described and to confirm their usefulness, a necessary and sufficient combinatorial condition, the “avoiding set condition,” for deciding whether or not a compact set of stochastic matrices is a consensus set is revisited. In addition, a necessary and sufficient combinatorial condition is established for deciding whether or not a compact set of doubly stochastic matrices is a consensus set.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Convexification of Power Flow Equations in the Presence of Noisy
           Measurements
    • Authors: Ramtin Madani;Javad Lavaei;Ross Baldick;
      Pages: 3101 - 3116
      Abstract: This paper is concerned with the power system state estimation (PSSE) problem that aims to find the unknown operating point of a power network based on a given set of measurements. We first study the power flow (PF) problem as an important special case of PSSE. PF is known to be nonconvex and NP-hard in the worst case. To this end, we propose a set of semidefinite programs (SDPs) with the property that they all solve the PF problem as long as the voltage angles are relatively small. Associated with each SDP, we explicitly characterize the set of all the complex voltages that can be recovered via that convex problem. As a generalization, the design of an SDP problem that recovers multiple nominal points and a neighborhood around each point is also cast as a convex program. The results are, then, extended to the PSSE problem, where the measurements used in the PF problem are subject to noise. A two-term objective function is employed for each convex program developed for the PSSE problem: 1) the first term accounting for the nonconvexity of the PF equations and 2) other one for estimating the noise levels. An upper bound on the estimation error is derived with respect to the noise level, and the proposed techniques are demonstrated on multiple test systems, including a 9241-bus European network. Although the focus of this paper is on power networks, yet the developed results apply to every arbitrary state estimation problem with quadratic measurement equations.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Affine Monotonic and Risk-Sensitive Models in Dynamic Programming
    • Authors: Dimitri P. Bertsekas;
      Pages: 3117 - 3128
      Abstract: In this paper, we consider a broad class of infinite horizon discrete-time optimal control models that involve a nonnegative cost function and an affine mapping in their dynamic programming equation. They include as special cases several classical models, such as stochastic undiscounted nonnegative cost problems, stochastic multiplicative cost problems, and risk-sensitive problems with exponential cost. We focus on the case where the state space is finite and the control space has some compactness properties, and we emphasize shortest path-type models. We assume that the affine mapping has a semicontractive character, whereby for some policies it is a contraction, whereas for others it is not. In one line of analysis, we impose assumptions guaranteeing that the noncontractive policies cannot be optimal. Under these assumptions, we prove strong results that resemble those for discounted Markovian decision problems, such as the uniqueness of solution of Bellman's equation, and the validity of forms of value and policy iteration. In the absence of these assumptions, the results are weaker and unusual in character: the optimal cost function need not be a solution of Bellman's equation, and may not be found by value or policy iteration. Instead the optimal cost function over just the contractive policies is the largest solution of Bellman's equation, and can be computed by a variety of algorithms.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Block Decoupling of Boolean Control Networks
    • Authors: Yongyuan Yu;Jun-e Feng;Jinfeng Pan;Daizhan Cheng;
      Pages: 3129 - 3140
      Abstract: In this paper, the block decoupling of Boolean control networks is investigated via solving logical matrix equations. First, the definition of block decoupling of Boolean control networks is proposed. Second, the block decoupling problem is equivalently converted into the solvability of a set of logical matrix equations. Subsequently, the approaches to solve these equations are designed, based on which the suitable coordinate transformations and open-loop controllers can be determined. Finally, an illustrative example is given to show the effectiveness of the main results.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Balancing Communication and Computation in Distributed Optimization
    • Authors: Albert S. Berahas;Raghu Bollapragada;Nitish Shirish Keskar;Ermin Wei;
      Pages: 3141 - 3155
      Abstract: Methods for distributed optimization have received significant attention in recent years owing to their wide applicability in various domains including machine learning, robotics, and sensor networks. A distributed optimization method typically consists of two key components: communication and computation. More specifically, at every iteration (or every several iterations) of a distributed algorithm, each node in the network requires some form of information exchange with its neighboring nodes (communication) and the computation step related to a (sub)-gradient (computation). The standard way of judging an algorithm via only the number of iterations overlooks the complexity associated with each iteration. Moreover, various applications deploying distributed methods may prefer a different composition of communication and computation. Motivated by this discrepancy, in this paper, we propose an adaptive cost framework that adjusts the cost measure depending on the features of various applications. We present a flexible algorithmic framework, where communication and computation steps are explicitly decomposed to enable algorithm customization for various applications. We apply this framework to the well-known distributed gradient descent (DGD) method, and show that the resulting customized algorithms, which we call DGDt, NEAR-DGDt, and NEAR-DGD+, compare favorably to their base algorithms, both theoretically and empirically. The proposed NEAR-DGD+ algorithm is an exact first-order method where the communication and computation steps are nested, and when the number of communication steps is adaptively increased, the method converges to the optimal solution. We test the performance and illustrate the flexibility of the methods, as well as practical variants, on quadratic functions and classification problems that arise in machine learning, in terms of iterations, gradient evaluations, communications, and the proposed cost frame-ork.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Efficient Simulation Sampling Allocation Using Multifidelity Models
    • Authors: Yijie Peng;Jie Xu;Loo Hay Lee;Jianqiang Hu;Chun-Hung Chen;
      Pages: 3156 - 3169
      Abstract: Simulation is often used to estimate the performance of alternative system designs for selecting the best. For a complex system, high-fidelity simulation is usually time-consuming and expensive. In this paper, we provide a new framework that integrates information from the multifidelity models to increase efficiency for selecting the best. A Gaussian mixture model is introduced to capture performance clustering information in the multifidelity models. Posterior information obtained by a clustering analysis incorporates both cluster-wise information and idiosyncratic information for each design. We propose a new budget allocation method to efficiently allocate high-fidelity simulation replications, utilizing posterior information. Numerical experiments show that the proposed multifidelity framework achieves a significant boost in efficiency.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Iterative Sequential Action Control for Stable, Model-Based Control of
           Nonlinear Systems
    • Authors: Emmanouil Tzorakoleftherakis;Todd D. Murphey;
      Pages: 3170 - 3183
      Abstract: This paper presents iterative sequential action control (iSAC), a receding horizon approach for control of nonlinear systems. The iSAC method has a closed-form open-loop solution, which is iteratively updated between time steps by introducing constant control values applied for short duration. Application of a contractive constraint on the cost is shown to lead to closed-loop asymptotic stability under mild assumptions. The effect of asymptotically decaying disturbances on system trajectories is also examined. To demonstrate the applicability of iSAC, we employ a variety of systems and conditions, including a 13-dimensional quaternion-based quadrotor and NASA's Transition Region and Coronal Explorer (TRACE) spacecraft. Each system is tested in different scenarios, ranging from feasible and infeasible trajectory tracking to setpoint stabilization, with or without the presence of external disturbances. Finally, limitations of this paper are discussed.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Smooth Interpolation of Covariance Matrices and Brain Network Estimation
    • Authors: Lipeng Ning;
      Pages: 3184 - 3193
      Abstract: We propose an approach to use the state covariance of autonomous linear systems to track time-varying covariance matrices of nonstationary time series. Following concepts from the Riemannian geometry, we investigate three types of covariance paths obtained by using different quadratic regularizations of system matrices. The first quadratic form induces the geodesics based on the Hellinger–Bures metric related to optimal mass transport (OMT) theory and quantum mechanics. The second type of quadratic form leads to the geodesics based on the Fisher–Rao metric from information geometry. In the process, we introduce a weighted-OMT interpretation of the Fisher–Rao metric for multivariate Gaussian distributions. A main contribution of this work is the introduction of the third type of covariance paths, which are steered by system matrices with rotating eigenspaces. The three types of covariance paths are compared using two examples with synthetic data and real data from resting-state functional magnetic resonance imaging, respectively.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • High-Gain Nonlinear Observer With Lower Tuning Parameter
    • Authors: Ali Zemouche;Fan Zhang;Frédéric Mazenc;Rajesh Rajamani;
      Pages: 3194 - 3209
      Abstract: This paper develops a new high-gain observer design method for nonlinear systems that has a lower gain compared to the standard high-gain observer. This new observer, called HG/LMI observer, is obtained by combining the standard high-gain methodology with the LMI-based observer design technique. Through analytical developments, this paper shows how the new observer provides lower gains, shows how it applies to systems with multinonlinear functions, and analyzes performance in the presence of measurement noise and/or delayed output measurements. A numerical example is given to illustrate the increasing advantage of the new HG/LMI observer with increase in the observer's “compromise index.” Finally, the applicability and performance of the observer is demonstrated for a real-world application consisting of a train's magnetic levitation system.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Multiagent Coordination Via Distributed Pattern Matching
    • Authors: Kazunori Sakurama;Shun-Ichi Azuma;Toshiharu Sugie;
      Pages: 3210 - 3225
      Abstract: This paper addresses a distributed formation control problem of multiple mobile agents using relative positions and local bearings. First, a formation control method via distributed pattern matching is proposed, which is executed over each clique (i.e., complete induced subgraph) of a network. It is shown that this method achieves the best control performance for a given desired formation and network topology in the following sense: The closest formation to the desired one is achieved among all formations achievable by distributed and relative control over the network. Next, a necessary and sufficient network condition is derived under which the desired formation can be obtained. It turns out that a new concept of connectivity, called clique rigidity, plays a crucial role. Finally, the effectiveness of the proposed method is illustrated through simulations in both two and three dimensional spaces.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • $n$ -Sphere&rft.title=IEEE+Transactions+on+Automatic+Control&rft.issn=0018-9286&rft.date=2019&rft.volume=64&rft.spage=3226&rft.epage=3238&rft.aulast=Saradagi;&rft.aufirst=Vijay&rft.au=Vijay+Muralidharan;Arun+D.+Mahindrakar;Akshit+Saradagi;">Control of a Driftless Bilinear Vector Field on $n$ -Sphere
    • Authors: Vijay Muralidharan;Arun D. Mahindrakar;Akshit Saradagi;
      Pages: 3226 - 3238
      Abstract: In this paper, we consider a multi-input driftless bilinear system evolving on the n-dimensional sphere Sn. We first provide examples drawn from rigid body mechanics that provide the motivation for the control of bilinear systems on Sn. For the general framework, we establish the global controllability on Sn and propose two linear control laws on Sn that achieve asymptotic stabilization of an equilibrium point with an almost global domain-of-attraction. Further, the asymptotically stable closed-loop system trajectories are shown to be arcs on the geodesics of Sn for a particular choice of the equilibrium point. Next, we propose two linear time-varying control laws to achieve trajectory tracking on Sn and show the asymptotic stability of the tracking error. A distributed control is designed for the consensus of multiagent bilinear systems on Sn with an undirected tree as the communication graph. The consensus manifold is shown to have an almost global domain of attraction.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Optimal Persistent Monitoring Using Second-Order Agents With Physical
           Constraints
    • Authors: Yan-Wu Wang;Yao-Wen Wei;Xiao-Kang Liu;Nan Zhou;Christos G. Cassandras;
      Pages: 3239 - 3252
      Abstract: This paper addresses a one-dimensional optimal persistent monitoring problem using second-order agents. The goal is to control the movements of agents to minimize a performance metric associated with the environment (targets) over a finite time horizon. In contrast to earlier results limited to first-order dynamics for agents, we control their accelerations rather than velocities, thus leading to a better approximation of agent behavior in practice and to smoother trajectories. Bounds on both velocities and accelerations are also taken into consideration. Despite these added complications to agent dynamics, we derive a necessary condition for optimality and show that the optimal agent trajectories can be fully characterized by two parameter vectors. A gradient-based algorithm is proposed to optimize these parameters and yield a minimal performance metric. In addition, a collision avoidance algorithm is proposed to solve potential collision and boundary-crossing problems, thus extending the gradient-based algorithm solutions. Finally, simulation examples are included to demonstrate the effectiveness of our results.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • The Importance of System-Level Information in Multiagent Systems Design:
           Cardinality and Covering Problems
    • Authors: Dario Paccagnan;Jason R. Marden;
      Pages: 3253 - 3267
      Abstract: A fundamental challenge in multiagent systems is to design local control algorithms to ensure a desirable collective behavior. The information available to the agents, gathered either through communication or sensing, naturally restricts the achievable performance. Hence, it is fundamental to identify what piece of information is valuable and can be exploited to design control laws with enhanced performance guarantees. This paper studies the case when such information is uncertain or inaccessible for a class of submodular resource allocation problems termed covering problems. In the first part of this paper, we pinpoint a fundamental risk-reward tradeoff faced by the system operator when conditioning the control design on a valuable but uncertain piece of information, which we refer to as the cardinality, that represents the maximum number of agents that can simultaneously select any given resource. Building on this analysis, we propose a distributed algorithm that allows agents to learn the cardinality while adjusting their behavior over time. This algorithm is proved to perform on par or better to the optimal design obtained when the exact cardinality is known a priori.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Submodularity of Storage Placement Optimization in Power Networks
    • Authors: Junjie Qin;Insoon Yang;Ram Rajagopal;
      Pages: 3268 - 3283
      Abstract: In this paper, we consider the problem of placing energy storage resources in a power network when all storage devices are optimally controlled to minimize system-wide costs. We propose a discrete optimization framework to accurately model heterogeneous storage capital and installation costs as these fixed costs account for the largest cost component in most grid-scale storage projects. Identifying an optimal placement strategy is challenging due to the combinatorial nature of such placement problems, and the spatial and temporal transfers of energy via transmission lines and distributed storage devices. To develop a scalable near-optimal placement strategy with a performance guarantee, we characterize a tight condition under which the placement value function is submodular by exploiting our duality-based analytical characterization of the optimal cost and prices. The proposed polyhedral analysis of a parametric economic dispatch problem with optimal storage control also leads to a simple but rigorous verification method for submodularity, and the novel insight that the spatiotemporal congestion pattern of a power network is critical to submodularity. A modified greedy algorithm provides a (1 - 1/e)-optimal placement solution and can be extended to obtain risk-aware placement strategies when submodularity is verified.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Robustness to In-Domain Viscous Damping of a Collocated Boundary Adaptive
           Feedback Law for an Antidamped Boundary Wave PDE
    • Authors: Christophe Roman;Delphine Bresch-Pietri;Christophe Prieur;Olivier Sename;
      Pages: 3284 - 3299
      Abstract: In this paper, the robustness to model mismatch of a preexisting collocated boundary adaptive feedback law is investigated. This control law was originally designed for an antidamped pure wave partial differential equation (PDE). Actuation and measurements are located at the same boundary. Adaptive terms account for uncertain parameters located at the antidamped boundary, opposite to the collocated actuation and measurement. By extending and transforming the system state using, in particular, backstepping, this paper establishes that this controller is robust to sufficiently small in-domain damping. In particular, both stability and attractivity (convergence) are established similarly as in the nominal case. Note moreover that, assuming that some parameters are known, the exponential stability to an attractor holds. Simulations are performed to illustrate the interest of this study to attenuate mechanical vibrations in an oil-drilling context.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Dynamic Event-Triggered and Self-Triggered Control for Multi-agent Systems
    • Authors: Xinlei Yi;Kun Liu;Dimos V. Dimarogonas;Karl H. Johansson;
      Pages: 3300 - 3307
      Abstract: We propose two novel dynamic event-triggered control laws to solve the average consensus problem for first-order continuous-time multiagent systems over undirected graphs. Compared with the most existing triggering laws, the proposed laws involve internal dynamic variables, which play an essential role in guaranteeing that the triggering time sequence does not exhibit Zeno behavior. Moreover, some existing triggering laws are special cases of ours. For the proposed self-triggered algorithm, continuous agent listening is avoided as each agent predicts its next triggering time and broadcasts it to its neighbors at the current triggering time. Thus, each agent only needs to sense and broadcast at its triggering times, and to listen to and receive incoming information from its neighbors at their triggering times. It is proved that the proposed triggering laws make the state of each agent converge exponentially to the average of the agents' initial states if and only if the underlying graph is connected. Numerical simulations are provided to illustrate the effectiveness of the theoretical results.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • State Measurement Error-to-State Stability Results Based on Approximate
           Discrete-Time Models
    • Authors: Alexis J. Vallarella;Hernan Haimovich;
      Pages: 3308 - 3315
      Abstract: Digital controller design for nonlinear systems may be complicated by the fact that an exact discrete-time plant model is not known. One existing approach employs approximate discrete-time models for stability analysis and control design and ensures different types of closed-loop stability properties based on the approximate model and on specific bounds on the mismatch between the exact and approximate models. Although existing conditions for practical stability exist, some of which consider the presence of process disturbances, input-to-state stability (ISS) with respect to state-measurement errors and based on approximate discrete-time models has not been addressed. In this paper, we thus extend existing results in two main directions: 1) we provide ISS-related results, where the input is the state measurement error; and 2) our results allow for some specific varying-sampling-rate scenarios. We provide conditions to ensure semiglobal practical ISS, even under some specific forms of varying sampling rate. These conditions employ Lyapunov-like functions. We illustrate the application of our results on numerical examples, where we show that a bounded state-measurement error can cause a semiglobal practically stable system to diverge.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Distributed Moving-Horizon Estimation With Arrival-Cost Consensus
    • Authors: Giorgio Battistelli;
      Pages: 3316 - 3323
      Abstract: The paper deals with the problem of estimating the state of a linear system over a peer-to-peer network of linear sensors. The proposed approach is fully distributed, scalable, and allows for taking into account constraints on noise and state variables by resorting to the moving-horizon estimation paradigm. Each network node computes its local state estimate by minimizing a cost function defined over a sliding window of fixed size. The cost function includes a fused arrival cost, which is computed in a distributed way by performing a consensus on the local arrival costs. The proposed estimator guarantees stability of the estimation error dynamics in all network nodes, under the minimal requirements of network connectivity and collective observability, and for any number of consensus steps. Numerical simulations are provided to demonstrate the practical effectiveness of the approach.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Shrinking Horizon Model Predictive Control With Signal Temporal Logic
           Constraints Under Stochastic Disturbances
    • Authors: Samira S. Farahani;Rupak Majumdar;Vinayak S. Prabhu;Sadegh Soudjani;
      Pages: 3324 - 3331
      Abstract: We present shrinking horizon model predictive control for discrete-time linear systems under stochastic disturbances with constraints encoded as signal temporal logic (STL) specification. The control objective is to satisfy a given STL specification with high probability against stochastic uncertainties while maximizing the robust satisfaction of an STL specification with minimum control effort. We formulate a general solution, which does not require precise knowledge of probability distributions of (possibly dependent) stochastic disturbances; only the bounded support of the density functions and moment intervals are used. For the specific case of disturbances that are normally distributed, we optimize the controllers by utilizing knowledge of the probability distribution of the disturbance. We show that in both cases, the control law can be obtained by solving optimization problems with linear constraints at each step. We experimentally demonstrate effectiveness of this approach by synthesizing a controller for a heating, ventilation, and air conditioning system.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Permissive Supervisor Synthesis for Markov Decision Processes Through
           Learning
    • Authors: Bo Wu;Xiaobin Zhang;Hai Lin;
      Pages: 3332 - 3338
      Abstract: This paper considers the permissive supervisor synthesis for probabilistic systems modeled as Markov Decision Processes (MDP). Such systems are prevalent in power grids, transportation networks, communication networks, and robotics. We propose a novel supervisor synthesis framework using automata learning and compositional model checking to generate the permissive local supervisors in a distributed manner. With the recent advances in assume-guarantee reasoning verification for MDPs, constructing the composed system can be avoided to alleviate the state space explosion. Our framework learns the supervisors iteratively using counterexamples from the verification and is guaranteed to terminate in finite steps and to be correct.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Polarizability, Consensusability, and Neutralizability of Opinion Dynamics
           on Coopetitive Networks
    • Authors: Fangzhou Liu;Dong Xue;Sandra Hirche;Martin Buss;
      Pages: 3339 - 3346
      Abstract: Opinion dynamics on social networks with coopetitive (cooperative-competitive) interactions may result in polarity, consensus or neutrality under different opinion protocols. The antecedent of protocol design is to study the accessibility problem: whether or not there exist admissible control rules to polarize, consensus, or neutralize individual opinions in a large population. From an operational perspective, this technical note is aimed at the investigation of polarizability, consensusability, and neutralizability of opinion dynamics in question. Particular emphasis is on the joint impact of the dynamical properties of individuals and the interaction topology among them on polarizability, consensusability, and neutralizability, respectively. Sufficient and/or necessary conditions for those accessibility problems are provided by using powerful tools from spectral analysis and algebraic graph theory. To characterize the individual diversity in real life, we further investigate the solvability of opinion formation problems in heterogeneous systems with nonidentical dynamics. Accordingly, sufficient and/or necessary criteria for heterogeneous network polarizability, consensusability, and neutralizability are derived.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Fully Distributed Resilience for Adaptive Exponential Synchronization of
           Heterogeneous Multiagent Systems Against Actuator Faults
    • Authors: Ci Chen;Kan Xie;Frank L. Lewis;Shengli Xie;Ali Davoudi;
      Pages: 3347 - 3354
      Abstract: Cooperative control of multiagent systems (MAS) on communication networks has received a great deal of attention, mostly for the case of homogeneous agents, which all have the same dynamics. An advantage of cooperative synchronization mechanisms is their local distributed nature, which makes them scalable to large networks. However, most existing design mechanisms require some global information, such as the leader's dynamics or global graph information, so that the control protocols are technically not fully distributed. Moreover, the distributed nature of the control protocols makes them susceptible to faults or uncertainties. In this paper, we study heterogeneous MAS, where all agents may have different dynamics. We provide adaptive resilience mechanisms for rejecting actuator faults, and guarantee exponential convergence of synchronization errors, whereas most existing results on actuator faults guarantee only boundedness of errors. Finally, we provide algorithms that are fully distributed, requiring no knowledge of either the leader's dynamics or of graph properties.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Dual Prediction–Correction Methods for Linearly Constrained
           Time-Varying Convex Programs
    • Authors: Andrea Simonetto;
      Pages: 3355 - 3361
      Abstract: Devising efficient algorithms to solve continuously-varying strongly convex optimization programs is key in many applications, from control systems to signal processing and machine learning. In this context, solving means to find and track the optimizer trajectory of the continuously-varying convex optimization program. Recently, a novel prediction-correction methodology has been put forward to set up iterative algorithms that sample the continuously-varying optimization program at discrete time steps and perform a limited amount of computations to correct their approximate optimizer with the new sampled problem and predict how the optimizer will change at the next time step. Prediction-correction algorithms have been shown to outperform more classical strategies, i.e., correction-only methods. Typically, prediction-correction methods have asymptotical tracking errors of the order of h2, where h is the sampling period, whereas classical strategies have order of h. Up to now, prediction-correction algorithms have been developed in the primal space, both for unconstrained and simply constrained convex programs. In this paper, we show how to tackle linearly constrained continuously-varying problem by prediction-correction in the dual space and we prove similar asymptotical error bounds as their primal versions.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • $mathcal+{L}_2$ +State+Estimation+With+Guaranteed+Convergence+Speed+in+the+Presence+of+Sporadic+Measurements&rft.title=IEEE+Transactions+on+Automatic+Control&rft.issn=0018-9286&rft.date=2019&rft.volume=64&rft.spage=3362&rft.epage=3369&rft.aulast=Tarbouriech;&rft.aufirst=Francesco&rft.au=Francesco+Ferrante;Frédéric+Gouaisbaut;Ricardo+G.+Sanfelice;Sophie+Tarbouriech;">$mathcal {L}_2$ State Estimation With Guaranteed Convergence Speed in the
           Presence of Sporadic Measurements
    • Authors: Francesco Ferrante;Frédéric Gouaisbaut;Ricardo G. Sanfelice;Sophie Tarbouriech;
      Pages: 3362 - 3369
      Abstract: This paper deals with the problem of estimating the state of a nonlinear time-invariant system in the presence of sporadically available measurements and external perturbations. An observer with a continuous intersample injection term is proposed. Such an intersample injection is provided by a linear dynamical system, whose state is reset to the measured output estimation error whenever a new measurement is available. The resulting system is augmented with a timer triggering the arrival of a new measurement and analyzed in a hybrid system framework. The design of the observer is performed to achieve exponential convergence with a given decay rate of the estimation error. Robustness with respect to external perturbations and L2-external stability from plant perturbations to a given performance output are considered. Computationally efficient algorithms based on the solution to linear matrix inequalities are proposed to design the observer. Finally, the effectiveness of the proposed methodology is shown in an example.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Descriptor Observers Design for Markov Jump Systems With Simultaneous
           Sensor and Actuator Faults
    • Authors: Hongyan Yang;Shen Yin;
      Pages: 3370 - 3377
      Abstract: In this study, based upon designing a novel observer for Markovian jump systems (MJS), the state and fault estimation problem in the presence of simultaneous sensor and actuator faults in MJS is investigated. The novel observer is a linear descriptor reduced-order one. By employing the proposed linear descriptor reduced-order observer with decoupling technology, the estimation of state and sensor fault can be obtained directly without any supplementary design. Compared with the traditional sliding mode observers in MJS, the advantage is that the sliding surface switching problem is avoided. Finally, a practical example of mobile manipulators is given to illustrate the effectiveness of the theoretical results.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • $L_2$ +Synthesis+of+a+Class+of+Periodic+Piecewise+Time-Varying+Systems&rft.title=IEEE+Transactions+on+Automatic+Control&rft.issn=0018-9286&rft.date=2019&rft.volume=64&rft.spage=3378&rft.epage=3384&rft.aulast=Kwok;&rft.aufirst=Panshuo&rft.au=Panshuo+Li;James+Lam;Renquan+Lu;Ka-Wai+Kwok;">Stability and $L_2$ Synthesis of a Class of Periodic Piecewise
           Time-Varying Systems
    • Authors: Panshuo Li;James Lam;Renquan Lu;Ka-Wai Kwok;
      Pages: 3378 - 3384
      Abstract: In this paper, the stability, stabilization, and L2-gain problems are investigated for periodic piecewise systems with time-varying subsystems. Continuous Lyapunov function with time-varying Lyapunov matrix is adopted. A condition guaranteeing the negative definiteness of a matrix polynomial, deriving from the Lyapunov derivative, is first obtained. Based on such a condition, an exponential stability condition is provided. Moreover, a state-feedback controller with time-varying gain is developed to stabilize the unstable periodic piecewise time-varying system. The L2-gain criterion for periodic piecewise time-varying system is also studied. Numerical examples are given to show the validity of the proposed techniques.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Boundary Observers for a Reaction–Diffusion System Under Time-Delayed
           and Sampled-Data Measurements
    • Authors: Anton Selivanov;Emilia Fridman;
      Pages: 3385 - 3390
      Abstract: We construct finite-dimensional observers for a one-dimensional reaction-diffusion system with boundary measurements subject to time-delays and data sampling. The system has a finite number of unstable modes approximated by a Luenberger-type observer. The remaining modes vanish exponentially. For a given reaction coefficient, we show how many modes one should use to achieve a desired rate of convergence. The finite-dimensional part is analyzed using appropriate Lyapunov-Krasovskii functionals that lead to linear matrix inequalitie (LMI)-based convergence conditions feasible for small enough time-delay and sampling period. The LMIs can be used to find appropriate injection gains.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Controllability and Stabilizability of Networks of Linear Systems
    • Authors: Jochen Trumpf;Harry L. Trentelman;
      Pages: 3391 - 3398
      Abstract: We provide necessary and sufficient conditions for the node systems, the graph adjacency matrix, and the input matrix such that a heterogeneous network of multi-input multi-output linear time-invariant (LTI) node systems with constant linear couplings is controllable or stabilizable through the external input. We also provide specializations of these general conditions for homogeneous networks. Finally, we give a very simple, necessary and sufficient condition under which a homogeneous network of single-input single-output LTI node systems is stable in the absence of the external input.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • $SE(3)$ +Using+Inertial+and+Landmark+Measurements&rft.title=IEEE+Transactions+on+Automatic+Control&rft.issn=0018-9286&rft.date=2019&rft.volume=64&rft.spage=3399&rft.epage=3406&rft.aulast=Tayebi;&rft.aufirst=Miaomiao&rft.au=Miaomiao+Wang;Abdelhamid+Tayebi;">Hybrid Pose and Velocity-Bias Estimation on $SE(3)$ Using Inertial and
           Landmark Measurements
    • Authors: Miaomiao Wang;Abdelhamid Tayebi;
      Pages: 3399 - 3406
      Abstract: This paper deals with the design of globally exponentially stable invariant observers on the Special Euclidian group SE(3). First, we propose a generic hybrid estimation scheme (depending on a generic potential function) evolving on SE(3) × ℝ6 for pose (orientation and position) and velocity-bias estimation. Thereafter, the proposed estimation scheme is formulated explicitly in terms of inertial vectors and landmark measurements. Interestingly, the proposed estimation scheme leads to a decoupled rotational error dynamics from the translational dynamics, which is an interesting feature in practical applications with noisy measurements and disturbances.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Nonconservative Lifted Convex Conditions for Stability of Discrete-Time
           Switched Systems Under Minimum Dwell-Time Constraint
    • Authors: Weiming Xiang;Hoang-Dung Tran;Taylor T. Johnson;
      Pages: 3407 - 3414
      Abstract: In this note, a novel conception called virtual clock, which is defined by an artificial timer over a finite cycle, is introduced for stability analysis of discrete-time switched linear systems under minimum dwell-time constraint. Two necessary and sufficient conditions associated with a virtual clock with a sufficient length are proposed to ensure the global uniform asymptotic stability of discrete-time switched linear systems. For the two nonconservative stability criteria, the lifted version maintains the convexity in system matrices. Based on the lifted convex conditions, the extensions to ℓ2-gain computation and H∞ control problems are presented in the sequel. In particular, a novel virtual-clock-dependent controller is designed, which outperforms the traditional mode-dependent and common gain controllers. Several numerical examples are provided to illustrate our theoretic results.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Convergence Properties for Discrete-Time Nonlinear Systems
    • Authors: Duc N. Tran;Björn S. Rüffer;Christopher M. Kellett;
      Pages: 3415 - 3422
      Abstract: Three similar convergence notions are considered. Two of them are the long established notions of convergent dynamics and incremental stability. The other is the more recent notion of contraction analysis. All three convergence notions require that all solutions of a system converge to each other. In this note, we investigate the differences between these convergence properties for discrete-time and time-varying nonlinear systems by comparing the properties in pairs and using examples. We also demonstrate a time-varying smooth Lyapunov function characterization for each of these convergence notions, and, with appropriate assumptions, we provide several sufficient conditions to establish relationships between these properties in terms of Lyapunov functions.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • A Uniform Analysis on Input-to-State Stability of Decentralized
           Event-Triggered Control Systems
    • Authors: Hao Yu;Fei Hao;Tongwen Chen;
      Pages: 3423 - 3430
      Abstract: In this paper, the effects of bounded disturbances on decentralized event-triggered control systems are studied. The input-to-state (practical) stability of integral-based event-triggered control systems and dynamic event-triggered control systems is analyzed in a uniform framework by utilizing a new Lyapunov functional approach. An estimation on the upper bound of the input-to-state stability gain is given analytically. First, Zeno behavior is excluded with the time-regularized mechanisms, that is, a prespecified lower bound of inter-event times is introduced. Then, the conditions are presented under which the considered event-triggered control systems ensure Zeno-freeness without time regularization. Finally, a numerical example is given to illustrate the efficiency and feasibility of the proposed results.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Opinion Propagation Over Signed Networks: Models and Convergence Analysis
    • Authors: Xue Lin;Qiang Jiao;Long Wang;
      Pages: 3431 - 3438
      Abstract: In this paper, we consider the propagation problem of multiple competing opinions over a network with antagonistic interactions, modeled as a signed graph. The sign attached to an edge in this graph characterizes the cooperative (positive edge) or antagonistic (negative edge) relation between agents. The agent randomly selects itself or one of its neighbors to determine its opinion. If the agent selects itself, it will stick to its own opinion; if the agent selects the neighbor that interacts with it in the cooperative way, it will adopt the neighbor's opinion. However, for the antagonistic interaction, the agent chooses one opinion from the competing opinions, subtracting its neighbor's opinion in nonuniform and uniform probability, respectively. According to the update rules established earlier, two propagation models are provided. For the nonuniform scenario, a new network is constructed and its connection with the signed network is illuminated. Taking advantage of this connection, a graph condition is proposed for the propagation model to converge. For the uniform scenario, necessary and sufficient conditions in terms of network topology are derived, which guarantee the convergence of the propagation model. Furthermore, if the signed network is structurally balanced, complementary probabilities will be achieved on the same opinion by the bipartite subgroups.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • A Gradient-Free Three-Dimensional Source Seeking Strategy With Robustness
           Analysis
    • Authors: Said Al-Abri;Wencen Wu;Fumin Zhang;
      Pages: 3439 - 3446
      Abstract: Distributed source seeking in a three-dimensional (3-D) environment without explicit estimation of the gradient of the field is challenging. Nevertheless, for a swarm of an arbitrary number of agents, we develop a strategy to perform a source seeking behavior by requiring agents to synchronize their direction of motion using only local interactions while modulating their speed based only on the field value measured by each agent. The agents collectively move toward the source without estimating gradient and without sharing measurements of the field. We formulate a cascaded input-to-state stability problem from which we obtain Lyapunov-based convergence and robustness results. We validate the convergence of the swarm to the minimum of the field through simulated source seeking behavior in a 3-D scalar field.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Block Decoupling of Linear Systems by Static-State Feedback
    • Authors: Vladimír Kučera;
      Pages: 3447 - 3452
      Abstract: A solution is presented to a long-standing open problem of linear control theory, the block decoupling by static-state feedback. The problem was introduced in 1970 and all past solutions were obtained under restrictive assumptions on system, block structure, and decoupling feedback. The present formulation avoids any restrictive hypotheses. The key notion is that of the block interactor. The existence of decoupling feedback is conditioned by system invariants with respect to the permissible transformations. A block decoupling algorithm is presented, which permits to determine the sizes of the smallest diagonal blocks attainable.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Traffic Models of Periodic Event-Triggered Control Systems
    • Authors: Anqi Fu;Manuel Mazo;
      Pages: 3453 - 3460
      Abstract: Periodic event-triggered control (PETC) [13] is a version of event-triggered control that only requires the measurement of the plant output periodically instead of continuously. In this note, we present a construction of timing models for these PETC implementations to capture the dynamics of the traffic they generate. In the construction, we employ a two-step approach. We first partition the state space into a finite number of regions. Then, in each region, the event-triggering behavior is analyzed with the help of linear matrix inequalities. The state transitions among different regions result from computing the reachable state set starting from each region within the computed event time intervals.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Stabilization Control for Linear Continuous-Time Mean-Field Systems
    • Authors: Qingyuan Qi;Huanshui Zhang;Zhen Wu;
      Pages: 3461 - 3468
      Abstract: This paper investigates the stabilization and control problems for linear continuous-time mean-field systems. Under standard assumptions, the necessary and sufficient conditions to stabilize the mean-field systems in the mean-square sense are explored for the first time. It is shown that, under the assumption of exact detectability (exact observability), the mean-field system is stabilizable if and only if a coupled algebraic Riccati equation admits a unique positive-semidefinite solution (positive-definite solution), which coincides with the classical stabilization results for standard deterministic systems and stochastic systems.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Backstepping Boundary Control of a Wave PDE With Spatially Distributed
           Time Invariant Unknown Disturbances
    • Authors: Halil Ibrahim Basturk;Ilhan Umur Ayberk;
      Pages: 3469 - 3475
      Abstract: An observer based boundary control scheme is suggested for an infinite dimensional system modeled as a wave partial differential equation (PDE) with in-domain and boundary disturbances. We consider a collocated case where the sensors and the actuators are located at the same boundary. The aim of the controller is to regulate the rate of change of the opposite boundary around a given reference. The unknown in-domain disturbance is spatially distributed but it is constant in time same as the unknown boundary disturbance. The problem is reformulated as a stabilization of an linear time invariant (LTI) system with simultaneous delays in input and output channels. The exponential stability of the equilibrium of the closed-loop system is proven. The performance of the controller is shown using numerical simulations.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • A De Giorgi Iteration-Based Approach for the Establishment of ISS
           Properties for Burgers’ Equation With Boundary and In-domain
           Disturbances
    • Authors: Jun Zheng;Guchuan Zhu;
      Pages: 3476 - 3483
      Abstract: This note addresses input-to-state stability (ISS) properties with respect to (w.r.t.) boundary and in-domain disturbances for Burgers' equation. The developed approach is a combination of the method of De Giorgi iteration and the technique of Lyapunov functionals by adequately splitting the original problem into two subsystems. The ISS properties in L2-norm for Burgers' equation have been established using this method. Moreover, as an application of De Giorgi iteration, ISS in L∞-norm w.r.t. in-domain disturbances and actuation errors in boundary feedback control for a one-dimensional linear unstable reaction-diffusion equation have also been established. It is the first time that the method of De Giorgi iteration is introduced in the ISS theory for infinite dimensional systems, and the developed method can be generalized for tackling some problems on multidimensional spatial domains and to a wider class of nonlinear partial differential equations.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Stabilization of Uncertain Feedforward Nonlinear Systems With Application
           to Underactuated Systems
    • Authors: Huawen Ye;
      Pages: 3484 - 3491
      Abstract: This note presents saturated controllers to stabilize uncertain feedforward nonlinear systems whose nominal dynamics contains uncertain “gains” and is subject to linear perturbations. We assign a class of saturated controllers within which multiplicative coefficients appear before both states and saturation functions, and the convergence analysis is conducted in the following way: to verify the reduction of saturated terms, we calculate the time derivative of a boundary surface in a small domain when the states reach the boundary surface; to prove the asymptotic stability of the corresponding reduced system, we use an M-matrix-based comparison principle. In this way, the suggested algorithm does not depend on the small-gain theory, and is suitable for dealing with strongly nonlinear underactuated systems including the cart-pendulum system, the overhead crane system, and the uncertain vertical takeoff and landing vehicle.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • A Further Result on Semi-global Stabilization of Minimum-Phase
           Input–Output Linearizable Nonlinear Systems by Linear Partial State
           Feedback
    • Authors: Zongli Lin;
      Pages: 3492 - 3497
      Abstract: It has been established that a globally asymptotically stable nonlinear system cascaded by a controllable linear system through its output can be semi-globally asymptotically stabilized by linear feedback of the state of the linear subsystem as long as the linear system is right invertible and has all its invariant zeros located on the closed left-half plane. In particular, a globally asymptotically stable nonlinear system cascaded by a chain of integrator through the state of any one integrator or the control input is semi-globally asymptotically stabilizable by linear feedback of the states of the integrators. In this note, we show that the restriction on the interconnection between the linear and nonlinear subsystems can be further relaxed. For example, a globally asymptotically stable nonlinear system cascaded by a chain of integrator can still be semi-globally stabilized even when the cascade is through the states of two consecutive integrators, with the input regarded as an additional state following the last integrator.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Finite-Time Adaptive Stabilization of Linear Systems
    • Authors: Mohamad Kazem Shirani Faradonbeh;Ambuj Tewari;George Michailidis;
      Pages: 3498 - 3505
      Abstract: Stabilization of linear systems with unknown dynamics is a canonical problem in adaptive control. Since the lack of knowledge of system parameters can cause it to become destabilized, an adaptive stabilization procedure is needed prior to regulation. Therefore, the adaptive stabilization needs to be completed in finite time. In order to achieve this goal, asymptotic approaches are not very helpful. There are only a few existing nonasymptotic results and a full treatment of the problem is not currently available. In this paper, leveraging the novel method of random linear feedbacks, we establish high probability guarantees for finite-time stabilization. Our results hold for remarkably general settings because we carefully choose a minimal set of assumptions. These include stabilizability of the underlying system and restricting the degree of heaviness of the noise distribution. To derive our results, we also introduce a number of new concepts and technical tools to address regularity and instability of the closed-loop matrix.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Consensusability of Multiagent Systems With Delay and Packet Dropout Under
           Predictor-Like Protocols
    • Authors: Juanjuan Xu;Huanshui Zhang;Lihua Xie;
      Pages: 3506 - 3513
      Abstract: This paper considers the consensusability of multiagent systems with delay and packet dropout. By proposing a kind of predictor-like protocol, sufficient and necessary conditions are given for the mean-square consensusability in terms of system matrices, time delay, communication graph, and the packet drop probability. Moreover, sufficient and necessary conditions are also obtained for the formationability of multiagent systems.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Dimensional-Invariance Principles in Coupled Dynamical Systems: A Unified
           Analysis and Applications
    • Authors: Zhiyong Sun;Changbin Yu;
      Pages: 3514 - 3520
      Abstract: In this paper, we will study coupled dynamical systems and investigate dimension properties of the subspace spanned by solutions of each individual system. Relevant problems on collinear dynamical systems and their variations are discussed recently by Montenbruck et al. in [1], while in this paper we aim to provide a unified analysis to derive the dimensional-invariance principles for networked coupled systems, and to generalize the invariance principles for networked systems with more general forms of coupling terms. To be specific, we consider two types of coupled systems, one with scalar couplings and the other with matrix couplings. Via the rank-preserving flow theory, we show that any scalar-coupled dynamical system (with constant, time-varying, or state-dependent couplings) possesses the dimensional-invariance principles, in that the dimension of the subspace spanned by the individual systems' solutions remains invariant. For coupled dynamical systems with matrix coefficients/couplings, necessary and sufficient conditions (for constant, time-varying, and state-dependent couplings) are given to characterize dimensional-invariance principles. The proofs via a rank-preserving matrix flow theory in this paper simplify the analysis in [1], and we also extend the invariance principles to the cases of time-varying couplings and state-dependent couplings. Furthermore, subspace-preserving property and signature-preserving flows are also developed for coupled networked systems with particular coupling terms. These invariance principles provide insightful characterizations to analyze transient behaviors and solution evolutions for a large family of coupled systems, such as multiagent consensus dynamics, distributed coordination systems, formation control systems, etc.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
  • Finite-Time Cooperative Engagement
    • Authors: Tansel Yucelen;Zhen Kan;Eduardo Pasiliao;
      Pages: 3521 - 3526
      Abstract: A smooth finite-time distributed control architecture is introduced and analyzed for the cooperative engagement problem. Using a time transformation method as well as Lyapunov stability theory, it is shown that the proposed architecture guarantees finite-time cooperative engagement in that the difference between the positions of each agent and a time-varying target, where this difference represents a dynamic equilibrium point, vanishes in a-priori given, user-defined finite time. In addition, this finite-time convergence is achieved without dependence on the initial conditions of agents and in the presence of unknown but bounded velocity of the target. Specifically, we first time transformed the proposed smooth finite-time distributed control architecture into an infinite-time (that is, stretched) interval. This time transformation method is then allowed to utilize tools from standard Lyapunov stability theory in which we analyze convergence properties of this architecture and boundedness of local control signals of each agent in this infinite-time interval. While this note focuses on a particular problem in the context of multiagent systems, the proposed time transformation method and the analysis procedure can be used for many other problems, where a-priori given, user-defined finite-time convergence is necessary with smooth control laws.
      PubDate: Aug. 2019
      Issue No: Vol. 64, No. 8 (2019)
       
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
 
Home (Search)
Subjects A-Z
Publishers A-Z
Customise
APIs
Your IP address: 3.226.251.205
 
About JournalTOCs
API
Help
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-