IEEE Transactions on Automatic Control

最新文章

• Event-Triggered Impulsive Control for Nonlinear Systems With Actuation Delays AI翻译
  作者：Zhang, Kexue; Braverman, Elena
  作者单位：Queens University - Canada; University of Calgary
  摘要：This article studies impulsive stabilization of nonlinear systems. We propose two types of event-triggering algorithms to update the impulsive control signals with actuation delays. The first algorithm is based on continuous event detection, while the second type makes decision about updating the impulsive control inputs according to periodic event detection. Sufficient conditions are derived to ensure asymptotic stability of the impulsive control systems with the designed event-triggering alg...
• Saturated Feedback Stabilizability to Trajectories for the Schlogl Parabolic Equation AI翻译
  作者：Azmi, Behzad; Kunisch, Karl; Rodrigues, Sergio S.
  作者单位：University of Konstanz; University of Graz
  摘要：In this article, it is shown that there exist a finite number of indicator functions, which allow us to track an arbitrary given trajectory of the Schlogl model, by means of an explicit saturated feedback control input whose magnitude is bounded by a constant independent of the given targeted trajectory. Simulations are presented showing the stabilizing performance of the explicit feedback constrained control. Further, such performance is compared to that of a receding horizon constrained cont...
• Adaptive Quantized Output Feedback Control of Nonlinear Systems With Mismatched Uncertainties and Sensor Failures AI翻译
  作者：Zhang, Zhirong; Wen, Changyun; Song, Yongduan; Feng, Gang
  作者单位：City University of Hong Kong; Nanyang Technological University; Chongqing University
  摘要：Digital control systems are normally characterized by quantization. It is quite challenging to exploit the celebrated backstepping control design for nonlinear systems subject to mismatched parametric uncertainties, input/output quantization, and unknown sensor failures. A major difficulty is that the output of the concerned system after quantization becomes discontinuous, and thus, nondifferentiable. As a result, the traditional recursive backstepping design method becomes infeasible because ...
• Distributed Mirror Descent Algorithm With Bregman Damping for Nonsmooth Constrained Optimization AI翻译
  作者：Chen, Guanpu; Xu, Gehui; Li, Weijian; Hong, Yiguang
  作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Alibaba Group; Tongji University; Tongji University
  摘要：To efficiently solve the nonsmooth distributed optimization with both local constraints and coupled constraints, we propose a distributed continuous-time algorithm based on the mirror descent (MD) method. In this article, we introduce the Bregman damping into distributed MD-based dynamics, which not only successfully applies the MD idea to the distributed primal-dual framework, but also ensures the boundedness of all variables and the convergence of the entire dynamics. Our approach generalize...
• Error- and Tamper-Tolerant State Estimation for Discrete Event Systems Under Cost Constraints AI翻译
  作者：Li, Yuting; Hadjicostis, Christoforos N.; Wu, Naiqi; Li, Zhiwu
  作者单位：Macau University of Science & Technology; University of Cyprus
  摘要：This article deals with the state estimation problem in discrete-event systems modeled with nondeterministic finite automata, partially observed via a sensor measuring unit whose measurements (reported observed symbols) may be vitiated by a malicious attacker. The attacks considered in this article include arbitrary deletions, insertions, or substitutions of observed symbols by taking into account a bounded number of attacks or, more generally, a total cost constraint (assuming that each delet...
• On a Stochastic Fundamental Lemma and Its Use for Data-Driven Optimal Control AI翻译
  作者：Pan, Guanru; Ou, Ruchuan; Faulwasser, Timm
  作者单位：Dortmund University of Technology
  摘要：Data-driven control based on the fundamental lemma by Willems et al. is frequently considered for deterministic linear time invariant (LTI) systems subject to measurement noise. However, besides measurement noise, stochastic disturbances might also directly affect the dynamics. In this article, we leverage polynomial chaos expansions to extend the deterministic fundamental lemma toward stochastic systems. This extension allows to predict future statistical distributions of the inputs and outpu...
• Online System Identification and Control for Linear Systems With Multiagent Controllers Over Wireless Interference Channels AI翻译
  作者：Tang, Minjie; Cai, Songfu; Lau, Vincent K. N.
  作者单位：Hong Kong University of Science & Technology
  摘要：In this article, we consider identification and control for potentially unstable linear systems with multiagent controllers in the presence of wireless interference channels among the remote controllers and the actuators. We formulate the optimal control problem as a stochastic game and utilize the stochastic approximation technique to learn the optimal control solutions and the plant dynamics simultaneously in an online manner. Using Lyapunov drift analysis, we show that the identified plant ...
• Quantized Distributed Gradient Tracking Algorithm With Linear Convergence in Directed Networks AI翻译
  作者：Xiong, Yongyang; Wu, Ligang; You, Keyou; Xie, Lihua
  作者单位：Tsinghua University; Harbin Institute of Technology; Nanyang Technological University
  摘要：Communication efficiency is a major bottleneck in the applications of distributed networks. To address the problem, the problem of quantized distributed optimization has attracted a lot of attention. However, most of the existing quantized distributed optimization algorithms can only converge sublinearly. To achieve linear convergence, this article proposes a novel quantized distributed gradient tracking algorithm (Q-DGT) to minimize a finite sum of local objective functions over directed netw...
• Decentralized False-Data Injection Attacks Against State Omniscience: Existence and Security Analysis AI翻译
  作者：Zhang, Tian-Yu; Ye, Dan; Shi, Yang
  作者单位：Northeastern University - China; Northeastern University - China; Northeastern University - China; University of Victoria
  摘要：This article focuses on how false-data injection (FDI) attacks compromise state omniscience, which needs each node in a jointly detectable sensor network to estimate the entire plant state through distributed observers. To reveal the global vulnerability of state omniscience, we investigate decentralized FDI (DFDI) attacks that destabilize the estimation error dynamics but eliminate their influences on the residual in each sensor node. First, the sufficiency and necessity for the existence of ...
• Finite Time Stability and Optimal Finite Time Stabilization for Discrete-Time Stochastic Dynamical Systems AI翻译
  作者：Lee, Junsoo; Haddad, Wassim M. M.; Lanchares, Manuel
  作者单位：University of South Carolina System; University of South Carolina Columbia; University System of Georgia; Georgia Institute of Technology
  摘要：In this article, we address finite time stability in probability of discrete-time stochastic dynamical systems. Specifically, a stochastic comparison lemma is constructed along with a scalar system involving a generalized deadzone function to establish almost sure convergence and finite time stability in probability. This result is used to provide Lyapunov theorems for finite time stability in probability for Ito-type stationary nonlinear stochastic difference equations involving Lyapunov diff...