IEEE Transactions on Automatic Control

最新文章

• An Adaptive Continuous-Time Algorithm for Nonsmooth Convex Resource Allocation Optimization AI翻译
  作者：Jia, Wenwen; Liu, Na; Qin, Sitian
  作者单位：Harbin Institute of Technology; Tsinghua University
  摘要：This article develops a novel continuous-time algorithm based on the idea of adaptive strategy for solving a resource allocation optimization with nonsmooth objective functions and constraints over multiagent network. It is proved that the state solution is globally bounded and finally converges to an optimal solution to the nonsmooth convex resource allocation problem. Compared with the existing algorithms, the strong/strict convexity of the objective function is relaxed and only convexity is...
• Homogeneity, Forward Completeness, and Global Stabilization of a Family of Time-Delay Nonlinear Systems by Memoryless Non-Lipschitz Continuous Feedback AI翻译
  作者：Zhao, Congran; Lin, Wei
  作者单位：Jiangsu University; University System of Ohio; Case Western Reserve University
  摘要：For a family of genuinely nonlinear systems with delays in the input and state, global strong stabilization (GSS) in the sense of Kurzweil is shown to be possible by memoryless state and/or output feedback under two conditions: 1) The input delay is within an appropriate range although the state delays can be sufficiently large; 2) the time-delay bounding system is homogeneous of degree zero and has a lower triangular structure. The proof is based on the Lyapunov-Krasovskii functional theorem ...
• An Optimization Framework for Resilient Batch Estimation in Cyber-Physical Systems AI翻译
  作者：Kircher, Alexandre; Bako, Laurent; Blanco, Eric; Benallouch, Mohamed
  作者单位：Ecole Centrale de Lyon; Institut National des Sciences Appliquees de Lyon - INSA Lyon; Universite Claude Bernard Lyon 1; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Engineering & Systems Sciences (INSIS)
  摘要：This article proposes a class of resilient state estimators for linear time-varying discrete-time systems. The dynamic equation of the system is assumed to be affected by a bounded process noise. As to the available measurements, they are potentially corrupted by a noise of both dense and impulsive natures. The latter, in addition to being arbitrary in its form, need not be strictly bounded. In this setting, we construct the estimator as the set-valued map, which associates with the measuremen...
• Security Investment in Cyber-Physical Systems: Stochastic Games With Asymmetric Information and Resource-Constrained Players AI翻译
  作者：Xing, Wei; Zhao, Xudong; Basar, Tamer; Xia, Weiguo
  作者单位：Dalian University of Technology; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：This article considers remote state estimation in cyber-physical systems (CPSs) with multiple sensors. Each plant is modeled by a discrete-time stochastic linear system with measurements of each sensor transmitted to the corresponding remote estimator over a shared communication network when their securities are interdependent due to network-induced risks. A dynamic nonzero-sum game with asymmetric information is formulated in which each sensor subject to a resource budget constraint needs to ...
• Implicit Implementation of Nonsmooth Controllers to Nonsmooth Actuators AI翻译
  作者：Kikuuwe, Ryo; Yamamoto, Yuki; Brogliato, Bernard
  作者单位：Hiroshima University; Inria; Centre National de la Recherche Scientifique (CNRS); Communaute Universite Grenoble Alpes; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA)
  摘要：This article presents an approach to implement a sliding-mode position controller to a plant equipped with a nonsmooth actuator. The actuator is modeled as a set-valued function from the control input and the velocity to the actuator force, which is motivated by quasi-static characteristics of hydraulic actuators shown in a previous study. The implementation of the sliding-mode controller is performed with the implicit discretization of the nominal plant model and the controller, which copes w...
• Statistical Similarity Measure-Based Adaptive Outlier-Robust State Estimator With Applications AI翻译
  作者：Bai, Mingming; Huang, Yulong; Zhang, Yonggang; Chambers, Jonathon
  作者单位：Harbin Engineering University; University of Leicester
  摘要：This article presents an adaptive outlier-robust state estimator (AORSE) under the statistical similarity measures (SSMs) framework. Two SSMs are first proposed to evaluate the similarities between a pair of positive definite random matrices and between a pair of weighted random vectors, respectively. The AORSE is developed by maximizing a hybrid SSMs based cost function, wherein the posterior density function of the hidden state is assumed as a Gaussian distribution with the posterior covaria...
• Sliding Mode Control of Networked Control Systems: An Auxiliary Matrices-Based Approach AI翻译
  作者：Hou, Huazhou; Yu, Xinghuo; Fu, Zao
  作者单位：Southeast University - China; Royal Melbourne Institute of Technology (RMIT); Southeast University - China
  摘要：A novel sliding mode control design method is developed to address the robust stabilization problem for uncertain time-varying networked control systems subject to state delay, which utilizes auxiliary matrices to avoid the difficulties of finding quadratic Lyapunov functions and solving the linear matrix inequalities. By embedding the original system into a higher dimensional system, simplified piecewise nonnegative functions can be used to analyze the system. Stability criteria are obtained ...
• Optimal Boundary Control of a Nonlinear Reaction Diffusion Equation via Completing the Square and Al'brekht's Method AI翻译
  作者：Krener, Arthur J.
  作者单位：United States Department of Defense; United States Navy; Naval Postgraduate School
  摘要：The two contributions of this article are as follows. The first is the solution of an infinite dimensional, boundary controlled linear quadratic regulator by the simple and constructive method of completing the square. The second contribution is the extension of Al'brekht's method to the optimal stabilization of a boundary controlled, nonlinear reaction diffusion system.
• Entropy Maximization for Partially Observable Markov Decision Processes AI翻译
  作者：Savas, Yagiz; Hibbard, Michael; Wu, Bo; Tanaka, Takashi; Topcu, Ufuk
  作者单位：University of Texas System; University of Texas Austin
  摘要：We study the problem of synthesizing a controller that maximizes the entropy of a partially observable Markov decision process (POMDP) subject to a constraint on the expected total reward. Such a controller minimizes the predictability of an agent's trajectories to an outside observer while guaranteeing the completion of a task expressed by a reward function. Focusing on finite-state controllers (FSCs) with deterministic memory transitions, we show that the maximum entropy of a POMDP is lower ...
• Finite-Dimensional Observer-Based PI Regulation Control of a Reaction-Diffusion Equation AI翻译
  作者：Lhachemi, Hugo; Prieur, Christophe
  作者单位：Universite Paris Saclay; Centre National de la Recherche Scientifique (CNRS); Communaute Universite Grenoble Alpes; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS)
  摘要：This article investigates the output feedback setpoint regulation control of a reaction-diffusion equation by means of boundary control. The considered reaction-diffusion plant may be open-loop unstable. The proposed control strategy consists of the coupling of a finite-dimensional observer and a PI controller in order to achieve the boundary setpoint regulation control of various system outputs such as the Dirichlet and Neumann traces. In this context, it is shown that the order of the finite...