IEEE Transactions on Automatic Control

最新文章

• Effects of Time Delay on Cucker-Smale Flocking Under Hierarchical Leadership AI翻译
  作者：Wu, Chen; Dong, Jiu-Gang
  作者单位：Dalian University of Technology
  摘要：We study the effects of time delay on the Cucker-Smale (CS) model under hierarchical leadership (HL). It is well known that time delays are ubiquitous in both physical phenomena and engineering applications. In this article, we establish an easily verified flocking condition for the CS model under HL subject to both transmission and reaction delays. Precisely, for the long-range weight function, we show that the flock converges to flocking exponentially fast when the size of the reaction delay...
• A Distributed Augmenting Path Approach for the Bottleneck Assignment Problem AI翻译
  作者：Khoo, Mitchell; Wood, Tony A.; Manzie, Chris; Shames, Iman
  作者单位：University of Melbourne; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; Australian National University
  摘要：We develop an algorithm to solve the bottleneck assignment problem (BAP) that is amenable to having computation distributed over a network of agents. This consists of exploring how each component of the algorithm can be distributed, with a focus on one component in particular, i.e., the function to search for an augmenting path. An augmenting path is a common tool used in most BAP algorithms and poses a particular challenge for this distributed approach. Given this significance, we compare the...
• Prediction for Dynamic Systems Using Impulse Response Representation AI翻译
  作者：Vincent, Tyrone L.; Yan, Shuhao; Bitar, Eilyan
  作者单位：Colorado School of Mines; Cornell University
  摘要：A predictor for a dynamic system that maps past inputs and outputs, along with future inputs, to future outputs is presented. The predictor models noise and disturbances as Gaussian random variables, and a maximum likelihood and minimum variance solution are provided. The novel element of this predictor is that it is defined directly in terms of the system impulse response, eliminating the need to find a state-space or transfer function realization.
• Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems AI翻译
  作者：Chang, Ting-Jui; Shahrampour, Shahin
  作者单位：Northeastern University
  摘要：Online optimization has recently opened avenues to study optimal control for time-varying cost functions that are unknown in advance. Inspired by this line of research, we study the distributed online linear quadratic regulator (LQR) problem for linear time-invariant (LTI) systems with unknown dynamics. Consider a multiagent network where each agent is modeled as an LTI system. The network has a global time-varying quadratic cost, which may evolve adversarially and is only partially observed b...
• A Fast Row-Stochastic Decentralized Method for Distributed Optimization Over Directed Graphs AI翻译
  作者：Ghaderyan, Diyako; Aybat, Necdet Serhat; Aguiar, A. Pedro; Pereira, Fernando Lobo
  作者单位：Universidade do Porto; Universidade do Porto; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：In this article, we introduce a fast row-stochastic decentralized algorithm, referred to as FRSD, to solve consensus optimization problems over directed communication graphs. The proposed algorithm only utilizes row-stochastic weights, leading to certain practical advantages in broadcast communication settings over those requiring column-stochastic weights. Under the assumption that each node-specific function is smooth and strongly convex, we show that the FRSD iterate sequence converges with...
• Relaxed Policy Iteration Algorithm for Nonlinear Zero-Sum Games With Application to H-Infinity Control AI翻译
  作者：Li, Jie; Li, Shengbo Eben; Duan, Jingliang; Lyu, Yao; Zou, Wenjun; Guan, Yang; Yin, Yuming
  作者单位：Tsinghua University; University of Science & Technology Beijing
  摘要：Though policy evaluation error profoundly affects the direction of policy optimization and the convergence property, it is usually ignored in policy iteration methods. This work incorporates the practical inexact policy evaluation into a simultaneous policy update paradigm to reach the Nash equilibrium of the nonlinear zero-sum games. In the proposed algorithm, the restriction of precise policy evaluation is removed by bounded evaluation error characterized by Hamiltonian without sacrificing c...
• Online Trajectory Planning Control for a Class of Underactuated Mechanical Systems AI翻译
  作者：Lu, Biao; Fang, Yongchun
  作者单位：Nankai University
  摘要：Efficient control of underactuated systems has always been a great challenge, since one has to stabilize both actuated and unactuated states with fewer control inputs. During the past decades, great efforts have been devoted to improving the transient performance and robustness of the system, which are very crucial in plenty of application scenarios. To motivate corresponding research, an online trajectory planning method is proposed for a class of underactuated mechanical systems in this arti...
• Toward Stabilizable Large-Scale Boolean Networks by Controlling the Minimal Set of Nodes AI翻译
  作者：Zhu, Shiyong; Cao, Jinde; Lin, Lin; Lam, James; Azuma, Shun-ichi
  作者单位：City University of Hong Kong; Southeast University - China; Southeast University - China; Purple Mountain Laboratories; Yonsei University; University of Hong Kong; Kyoto University
  摘要：This article studies structural controllers and distributed pinning controllers for the global stabilization of Boolean networks (BNs) by integrating the information on their network structures. The main contribution is that several computationally efficient procedures are presented to reduce the number of controlled nodes and to determine a minimal set of controlled nodes without using the brute-force searches. The primary objective is to identify a minimal set of nodes that need to be contro...
• A Sampling Theorem for Exact Identification of Continuous-Time Nonlinear Dynamical Systems AI翻译
  作者：Zeng, Zhexuan; Yue, Zuogong; Mauroy, Alexandre; Goncalves, Jorge; Yuan, Ye
  作者单位：Huazhong University of Science & Technology; University of Namur; University of Luxembourg
  摘要：Low sampling frequency challenges the exact identification of continuous-time (CT) dynamical systems from sampled data, even when their models are identifiable. A necessary and sufficient condition is proposed, built from the Koopman operator, for the exact identification of CT systems from sampled data. This condition provides a Nyquist-Shannon-like critical frequency for the exact identification of the CT nonlinear dynamical system, which has Koopman invariant spaces. First, it establishes a...
• Synchronization in Networks of Nonlinear Systems: Contraction Analysis via Riemannian Metrics and Deep-Learning for Feedback Estimation AI翻译
  作者：Giaccagli, Mattia; Zoboli, Samuele; Astolfi, Daniele; Andrieu, Vincent; Casadei, Giacomo
  作者单位：Universite de Lorraine; Centre National de la Recherche Scientifique (CNRS); Universite de Toulouse; Universite Toulouse III - Paul Sabatier; Centre National de la Recherche Scientifique (CNRS); Centre National de la Recherche Scientifique (CNRS); Universite Claude Bernard Lyon 1; Universite Claude Bernard Lyon 1; Ecole Centrale de Lyon; Institut National des Sciences Appliquees de Lyon - INSA Lyon
  摘要：In this article, we consider the problem of exponential synchronization of a network of identical input-affine nonlinear time-varying systems connected through an undirected graph, in the presence of a leader. We tackle the problem with incremental stability tools. We propose sufficient metric-based conditions to design a distributed diffusive coupling feedback law in two frameworks. First, we consider a state feedback design, where synchronization is obtained for every initial condition. Then...