IEEE Transactions on Automatic Control

最新文章

• Fully Distributed Algorithm for Resource Allocation Over Unbalanced Directed Networks Without Global Lipschitz Condition AI翻译
  作者：Zhang, Jin; Liu, Lu; Wang, Xinghu; Ji, Haibo
  作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; City University of Hong Kong; City University of Hong Kong
  摘要：This note investigates the distributed optimal resource allocation problem of multiagent systems over unbalanced directed networks under the relaxed condition that the gradients of local cost functions are locally Lipschitz. The objective is to cooperatively drive the decision variables of the agents to the optimal solution, which minimizes the sum of the local cost functions, while ensuring that the network resource constraints and local feasibility constraints are satisfied. A novel distribu...
• Parallel Input-Independent Model Order Reduction for Discrete-Time Parametric Systems AI翻译
  作者：Li, Zhen; Jiang, Yao-Lin
  作者单位：Xi'an Jiaotong University
  摘要：In this article, based on discrete orthogonal polynomials and the block $\epsilon$-circulant matrix, we explore a parallel input-independent model order reduction method, which is suitable for the single-input discrete-time systems characterizing nonaffine uncertainty about a scalar parameter. With the explicit difference relations of Charlier polynomials, Meixner polynomials, and Krawtchouk polynomials, the expansion coefficients of the state variable are obtained. Furthermore, we derive an i...
• Decentralized Secure State-Tracking in Multiagent Systems AI翻译
  作者：Mao, Yanwen; Tabuada, Paulo
  作者单位：University of California System; University of California Los Angeles
  摘要：This article addresses the problem of decentralized state-tracking in the presence of sensor attacks. We consider a network of nodes where each node has the objective of tracking the state of a linear dynamical system based on its measurements and messages exchanged with neighboring nodes notwithstanding some measurements being spoofed by an adversary. We propose a novel decentralized attack-resilient state-tracking algorithm based on the simple observation that a compressed version of all the...
• On Delay-Dependent Conditions of ISS for Generalized Persidskii Systems AI翻译
  作者：Mei, Wenjie; Efimov, Denis; Ushirobira, Rosane; Fridman, Emilia
  作者单位：Inria; Universite de Lille; Centre National de la Recherche Scientifique (CNRS); ITMO University; Tel Aviv University
  摘要：In this article, input-to-state stability and stabilization conditions in time-delay generalized Persidskii systems are studied. These conditions are formulated in terms of linear matrix inequalities, which may depend on delay values, and be local or global in state-space. Numerical examples of opinion dynamics and the Lotka-Volterra model illustrate the efficiency of the proposed results.
• Distributed Optimization Over Time-Varying Graphs With Imperfect Sharing of Information AI翻译
  作者：Reisizadeh, Hadi; Touri, Behrouz; Mohajer, Soheil
  作者单位：University of Minnesota System; University of Minnesota Twin Cities; University of California System; University of California San Diego
  摘要：We study strongly convex distributed optimization problems where a set of agents are interested in solving a separable optimization problem collaboratively. In this article, we propose and study a two-time-scale decentralized gradient descent algorithm for a broad class of lossy sharing of information over time-varying graphs. One time-scale fades out the (lossy) incoming information from neighboring agents, and one time-scale regulates the local loss functions' gradients. We show that assumin...
• Event-Based Finite-Time Control for Nonlinear Multiagent Systems With Asymptotic Tracking AI翻译
  作者：Li, Yongming; Li, Yuan-Xin; Tong, Shaocheng
  作者单位：Liaoning University of Technology
  摘要：In this article, an adaptive neural finite-time event-triggered consensus tracking problem is studied for nonlinear multiagent systems (MASs) under directed graphs. First, the unknown nonlinear functions of MASs can be approximated by neural networks. Then, a distributed adaptive event-triggered control scheme is proposed via command filter and backstepping technique. The newly designed control scheme cannot only circumvent the problem of the explosion of complexity, but also remove the singul...
• Cooperative Control of Uncertain Multiagent Systems via Distributed Gaussian Processes AI翻译
  作者：Lederer, Armin; Yang, Zewen; Jiao, Junjie; Hirche, Sandra
  作者单位：Technical University of Munich; Technical University of Munich; Harbin Engineering University
  摘要：For single agent systems, probabilistic machine learning techniques such as Gaussian process regression have been shown to be suitable methods for inferring models of unknown nonlinearities, which can be employed to improve the performance of control laws. While this approach can be extended to the cooperative control of multiagent systems, it leads to a decentralized learning of the unknown nonlinearity, i.e., each agent independently infers a model. However, decentralized learning can potent...
• An Explicit Dual Control Approach for Constrained Reference Tracking of Uncertain Linear Systems AI翻译
  作者：Parsi, Anilkumar; Iannelli, Andrea; Smith, Roy S.
  作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：A finite horizon optimal tracking problem is considered for linear dynamical systems subject to parametric uncertainties in the state-space matrices and exogenous disturbances. A suboptimal solution is proposed using a model predictive control (MPC) based explicit dual control approach, which enables active uncertainty learning. A novel algorithm for the design of robustly invariant online terminal sets and terminal controllers is presented. Set membership identification is used to update the ...
• On the Dynamics of the Tavis-Cummings Model AI翻译
  作者：Dong, Zhiyuan; Zhang, Guofeng; Wu, Ai-Guo; Wu, Re-Bing
  作者单位：Harbin Institute of Technology; Hong Kong Polytechnic University; Hong Kong Polytechnic University; Harbin Institute of Technology; Tsinghua University
  摘要：purpose of this article is to present a comprehensive study of the Tavis-Cummings model from a system-theoretic perspective. A typical form of the Tavis- Cummings model is composed of an ensemble of non-interacting two-level systems (TLSs) that are collectively coupled to a common cavity resonator. The associated quantum linear passive system is proposed, whose canonical form reveals typical features of the Tavis-Cummings model, including vN- scaling, dark states, bright states, single-excitat...
• Low-Gain Compensation for PDE-ODE Cascade Systems With Distributed Diffusion and Counter Convection AI翻译
  作者：Xu, Xiang; Liu, Lu; Krstic, Miroslav; Feng, Gang
  作者单位：City University of Hong Kong; University of California System; University of California San Diego
  摘要：This article proposes two low-gain controllers for systems with distributed input dynamics, governed by diffusion equations with counter convection. It is shown that the considered PDE-ODE cascade system can be exponentially stabilized with the proposed low-gain controllers as long as the open-loop plant is not exponentially unstable. A key advantage of the proposed controllers is their much simplified form in comparison with the existing backstepping-designed controllers developed for the sam...