IEEE Transactions on Automatic Control

最新文章

• Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach AI翻译
  作者：Capone, Alexandre; Brudigam, Tim; Hirche, Sandra
  作者单位：Carnegie Mellon University; Technical University of Munich; Technical University of Munich
  摘要：Solving chance-constrained stochastic optimal control problems is a significant challenge in control. This is because no analytical solutions exist for up to a handful of special cases. A common and computationally efficient approach for tackling chance-constrained stochastic optimal control problems consists of a deterministic reformulation, where hard constraints with an additional constraint-tightening parameter are imposed on a nominal prediction that ignores stochastic disturbances. Howev...
• A Zonotope-Based Interval Estimation Method for Systems With Nonlinear Equality Constraints AI翻译
  作者：Ma, Youdao; Wang, Zhenhua; Kinnaert, Michel; Shen, Yi
  作者单位：Harbin Institute of Technology
  摘要：This article studies the problem of interval estimation for systems with nonlinear equality constraints and unknown but bounded uncertainties. An iterative zonotope-based method is presented to compute accurate interval bounds of system states. To manage the nonlinear constraints, we utilize a Taylor expansion and consider the dependence in the remainder. Furthermore, to determine the optimal zonotopic enclosures of the intersection of two zonotopes, the widths of the smallest intervals enclos...
• Secrecy Codes for State Estimation of General Linear Systems AI翻译
  作者：Marelli, Damian; Sui, Tianju; Fu, Minyue; Cai, Qianqian
  作者单位：Guangdong University of Technology; Dalian University of Technology; Southern University of Science & Technology
  摘要：A typical cyber-physical system setup includes a local system sending measurements of its internal state to a remote state estimator. A form of attack consists of an eavesdropper observing this information exchange. Secrecy coding schemes have been recently proposed to achieve immunity to eavesdropping. The essential idea consists in coding the transmitting information in a way such that a single packet lost by the eavesdropper causes an irrecoverable error of its state estimation. Common limi...
• Sparsity Promoting Observer Design for Wireless Sensor-Estimator Networks AI翻译
  作者：Yang, Nachuan; Li, Yuzhe; Chen, Tongwen; Shi, Ling
  作者单位：Hong Kong University of Science & Technology; Northeastern University - China; University of Alberta
  摘要：In this article, we consider the design of structured Luenberger observers to generate sparse sensor-estimator communication networks. We first illustrate the relationship between the topology of communication channels and the structure of the observer gain matrix. To balance the estimation error and the communication cost, we formulate the design of the sparsity-promoting observer as a regularized l(1)-optimization problem. Then, we characterize its first-order optimality condition using grad...
• Radius Analysis-Based Control for Switched Positive Systems AI翻译
  作者：Fei, Zhongyang; Chen, Weizhong; Yang, Hao; Sun, Xi-Ming
  作者单位：Dalian University of Technology; Dalian University of Technology; Xi'an Polytechnic University; Harbin Institute of Technology; Nanjing University of Aeronautics & Astronautics
  摘要：This article investigates the dynamic output feedback control for switched positive systems with mode-dependent persistent dwell time (MPDT) switching and unmeasurable disturbances. Unlike the previous results, in this article, we propose a radius analysis-based control method. By constructing the time-varying state zonotope and guaranteeing its dual convergence, dynamic output feedback controllers are designed, and then the stability of the closed-loop system and convergent state boundaries a...
• Convergence Analysis of Distributed Generalized Nash Equilibria Seeking Algorithm With Asynchrony and Delays AI翻译
  作者：Li, Huaqing; Ran, Liang; Zheng, Lifeng; Li, Zhe; Hu, Jinhui; Li, Jun; Huang, Tingwen
  作者单位：Southwest University - China; Central South University; City University of Hong Kong; Shenzhen University of Advanced Technology
  摘要：This article considers a class of noncooperative games in which the feasible decision sets of all players are coupled together by a coupled inequality constraint. Adopting the variational inequality formulation of the game, we first introduce a new local edge-based equilibrium condition with full information. Considering challenges when communication delays occur, we then devise an asynchronous distributed algorithm to seek a generalized Nash equilibrium. This asynchronous scheme arbitrarily a...
• Maximization of Gain/Phase Margins by PID Control AI翻译
  作者：Mao, Qi; Xu, Yong; Chen, Jianqi; Chen, Jie; Georgiou, Tryphon T.
  作者单位：Nanjing Normal University; City University of Hong Kong; Guangdong University of Technology; Nanjing University; City University of Hong Kong; University of California System; University of California Irvine
  摘要：Proportional-integral-derivative (PID) control has been the workhorse of control technology for about a century. Yet to this day, designing and tuning PID controllers relies mostly on either tabulated rules (Ziegler-Nichols) or on classical graphical techniques (Bode). Our goal in this article is to take a fresh look on PID control in the context of optimizing stability margins for low-order (first- and second-order) linear time-invariant systems. Specifically, we seek to derive explicit expre...
• Stochastic Halfspace Approximation Method for Convex Optimization With Nonsmooth Functional Constraints AI翻译
  作者：Singh, Nitesh Kumar; Necoara, Ion
  作者单位：National University of Science & Technology POLITEHNICA Bucharest
  摘要：In this work, we consider convex optimization problems with smooth objective function and nonsmooth functional constraints. We propose a new stochastic gradient algorithm, called the stochastic halfspace approximation method (SHAM), to solve this problem, where at each iteration we first take a gradient step for the objective function and then we perform a projection step onto one halfspace approximation of a randomly chosen constraint. We propose various strategies to create this stochastic h...
• An Exact Robust High-Order Differentiator With Hyperexponential Convergence AI翻译
  作者：Wang, Jian; Zimenko, Konstantin; Polyakov, Andrey; Efimov, Denis
  作者单位：Hangzhou Dianzi University; ITMO University; Universite de Lille; Inria; Centrale Lille; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I)
  摘要：A linear time-varying state observer is presented for a chain of integrators having bounded disturbances in the last equation. It is demonstrated that in the noise-free setting, for the continuous-time realization, the estimation error converges to zero with a hyperexponential rate (faster than any exponential) uniformly in the disturbance. An implicit discretization scheme of the observer is proposed, which in the discrete time preserves all the main properties of the continuous-time counterp...
• Formation Under Communication Constraints: Control Performance Meets Channel Capacity AI翻译
  作者：Chen, Yaru; Cong, Yirui; Zhou, Xiangyun; Cheng, Long; Wang, Xiangke
  作者单位：National University of Defense Technology - China; Australian National University; Chinese Academy of Sciences; Institute of Automation, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
  摘要：In wireless communication-based formation control systems, the control performance is significantly impacted by the channel capacity of each communication link between agents. This relationship, however, remains under investigated in the existing studies. To address this gap, the formation control problem of classical second-order multiagent systems with bounded process noises was considered taking into account the channel capacity. More specifically, the model of communication links between a...