IEEE Transactions on Automatic Control

最新文章

• Collisions-Free Distributed Cooperative Tracking Control for Nonlinear MASs With Limited Data Rate AI翻译
  作者：Zhao, Can; An, Liwei; Zhang, Lili
  作者单位：Northeastern University - China; Northeastern University - China; Northeastern University - China
  摘要：In this article, we study the problem of collision/ obstacle avoidance in the distributed cooperative tracking control of nonlinear multiagent systems (MASs) with limited data rate. The limited data rate constrains the speed at which agents make cooperative decisions, thus increasing the risk of collisions. To address this issue, a distributed command governor under the wireless network with limited data rate is provided. The distributed command governor intelligently adjusts the reference sig...
• Distributed Proximal Algorithms for Nonsmooth Optimization: Unified Convergence Analysis AI翻译
  作者：Huang, Yi; Cui, Shisheng; Sun, Jian; Meng, Ziyang
  作者单位：Beijing Institute of Technology; Tsinghua University
  摘要：This article studies two classes of nonsmooth distributed optimization problems with coupled constraints, in which the local cost function of each agent consists of a Lipschitz differentiable function and a nonsmooth function. By applying the primal-dual method and proximal operation, we propose two discrete-time distributed algorithms to solve the nonsmooth resource allocation problem and optimal consensus problem, respectively. Different from some previous results with decreasing step-sizes,...
• Exponentially Assisted Source Localization by Velocity-Dependent/Velocity-Free Guidance Strategies in Incompletely Transparent Scalar Fields AI翻译
  作者：Li, Rui-Guo; Bi, Chen-Yang; Wu, Huai-Ning
  作者单位：Tiangong University; Beihang University; Beihang University
  摘要：Considering the incompletely transparent scalar field, this article studies an exponentially assisted source localization problem for double-integrator agents. Combined with position and concentration measurements, we build an adaptive parameter observer for unknown parameters in the scalar field relying on filtered regressors, which serves gradient estimation as a driven item for finding source. Coupled by the designed parameter observer, velocity-dependent/velocity-free guidance strategies w...
• Further Study on Stability Analysis for Markov Linear Parameter-Varying Systems AI翻译
  作者：Wang, Likui; Zhao, Yinghong; Xie, Xiangpeng; Lam, Hak-Keung
  作者单位：Hebei University of Technology; Nanjing University of Posts & Telecommunications; University of London; King's College London
  摘要：This article addresses the problem of stability analysis for a class of Markov jump systems with time-varying parameters. Unlike previous studies that assumed a bounded rate of parameter variation, this research allows for an arbitrary parameter variation rate. In addition, a new parameter-dependent homogeneous polynomial Lyapunov function is designed, which depends on both the Markov process and time-varying parameters simultaneously. The switching approach is employed to deal with the deriva...
• Safety-Critical Control for Nonlinear Systems With Complex Input Constraints AI翻译
  作者：Deng, Yaosheng; Ogura, Masaki; Bai, Yang; Wang, Yujie; Feroskhan, Mir
  作者单位：Nanyang Technological University; Hiroshima University; University of Wisconsin System; University of Wisconsin Madison
  摘要：In this article, we propose a novel control barrier function (CBF)-based controller for nonlinear systems with complex, time-varying input constraints. To deal with these constraints, we introduce an auxiliary control input to transform the original system into an augmented one, thus reformulating the constrained-input problem into a constrained-output one. This transformation simplifies the quadratic programming formulation and enhances compatibility with the CBF framework. As a result, the p...
• Virtual Nonholonomic Constraints-Based Motion Control for Underactuated UAV Slung-Payload Systems AI翻译
  作者：Kang, Junjie; Shan, Jinjun
  作者单位：York University - Canada
  摘要：The uncrewed aerial vehicle (UAV) slung-payload transportation system, characterized by highly nonlinear and coupled dynamics, poses a significant control challenge due to the two-degree underactuation of the tethered payload. This note investigates online trajectory generation and control for this system, focusing on the asymptotic stabilization of both the actuated UAV's positions and the unactuated payload's swings. First, we introduce a virtual nonholonomic constraint (VNHC)-based approach...
• Riemannian Online Optimistic Algorithms With Dynamic Regret AI翻译
  作者：Wang, Xi; Yuan, Deming; Hong, Yiguang; Hu, Zihao; Wang, Lei; Shi, Guodong
  作者单位：University of New South Wales Sydney; Nanjing University of Science & Technology; Tongji University; Hong Kong University of Science & Technology; Zhejiang University; University of Sydney
  摘要：this article, we consider Riemannian online convex optimization with dynamic regret, which involves minimizing the cumulative loss difference between a learner's decisions and a sequence of adaptive decisions across dynamic environments over time on Riemannian manifolds. First, we propose Riemannian online optimistic gradient descent (R-OOGD), which extends the classical optimistic algorithms to Riemannian manifolds, requiring one gradient inquiry per round. We then propose Riemannian adaptive...
• K-Step Opacity Verification and Enforcement of Time Labeled Petri Net Systems AI翻译
  作者：Dong, Yifan; Lefebvre, Dimitri; Li, Zhiwu
  作者单位：Macau University of Science and Technology; Universite Le Havre Normandie
  摘要：This article presents a procedure for K-step opacity verification and enforcement of timed observations generated from discrete event systems modeled by time labeled Petri nets. Within the framework of a timed discrete event system that is partially observed by an intruder, a K-step opaque timed observation means that an intruder has observed the system with time stamps but is not able to deduce the secret information within the knowledge derived from the last K steps of the timed observation....
• Accelerated Successive Convex Approximation for Nonlinear Optimization-Based Control AI翻译
  作者：Wu, Jinxian; Dai, Li; Dou, Songshi; Xia, Yuanqing
  作者单位：Beijing Institute of Technology; University of Hong Kong
  摘要：The successive convex approximation (SCA) methods stand out as the viable option for nonlinear optimization-based control, as it effectively addresses the challenges posed by nonlinear (potentially nonconvex) optimization problems by transforming them into a sequence of strongly convex subproblems. However, the current SCA algorithm exhibits a slow convergence rate, resulting in a relatively poor performance within a limited sample time. In this article, the process of SCA is retreated as solv...
• Optimal Feedback Control for a Class of Nonlinear Time-Delay Systems AI翻译
  作者：Hu, Hongxiao; Zhou, Zixin; Xu, Liguang; Ding, Zhengtao
  作者单位：University of Shanghai for Science & Technology; University of Shanghai for Science & Technology; University of Manchester
  摘要：This article addresses the problem of optimal nonlinear feedback control for a class of nonlinear time-delay systems over an infinite horizon, involving a nonlinear-nonquadratic performance functional. To this end, we propose a framework for analyzing and designing nonlinear feedback controllers that minimize such cost functionals for these systems. By applying the Lyapunov functional method, the stability of a class of nonlinear time-delay systems is determined over an infinite horizon. This ...