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作者：Malikopoulos, Andreas A.
作者单位：University of Delaware
摘要：In this article, we consider sequential dynamic team decision problems with nonclassical information structures. First, we address the problem from the point of view of a manager who seeks to derive the optimal strategy of the team in a centralized process. We derive structural results that yield an information state for the team, which does not depend on the control strategy, and thus, it can lead to a dynamic programming decomposition where the optimization problem is over the space of the t...
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作者：Peng, Chenchen; Zhang, Weihai
作者单位：Shandong University of Science & Technology; Qingdao University of Technology
摘要：This article is concerned with the mean-field stochastic cooperative linear-quadratic dynamic difference game in an infinite time horizon. First, the necessary and sufficient conditions for the stability in the mean-square sense and the stochastic Popov-Belevitch-Hautus eigenvector tests for the exact observability and exact detectability of mean-field stochastic linear difference systems are derived by the $\mathscr H-representation technique. Second, the relation between the solvability of t...
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作者：Smith, Kevin D.; Bullo, Francesco
作者单位：University of California System; University of California Santa Barbara
摘要：The basic reproduction number R0 is a fundamental quantity in epidemiological modeling, reflecting the typical number of secondary infections that arise from a single infected individual. While R0 is widely known to scientists, policymakers, and the general public, it has received comparatively little attention in the controls community. This note provides two novel characterizations of R0: a stability characterization and a geometric program characterization. The geometric program characteriz...
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作者：Carnevale, Guido; Camisa, Andrea; Notarstefano, Giuseppe
作者单位：University of Bologna
摘要：This article focuses on an online version of the emerging distributed constrained aggregative optimization framework, which is particularly suited for applications arising in cooperative robotics. Agents in a network want to minimize the sum of local cost functions, each one depending both on a local optimization variable, subject to a local constraint, and on an aggregated version of all the variables (e.g., the mean). We focus on a challenging online scenario in which the cost, the aggregati...
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作者：Zhang, Dan; Deng, Chao; Feng, Gang
作者单位：Zhejiang University of Technology; Nanjing University of Posts & Telecommunications; City University of Hong Kong
摘要：The resilient cooperative output regulation problem for a class of uncertain nonlinear multiagent systems (MASs) under denial-of-service (DoS) attacks is addressed in this article. This is the first attempt to investigate the cooperative output regulation problem for nonlinear MASs under DoS attacks, and a novel distributed control scheme consisting of a resilient distributed observer and a distributed adaptive controller is proposed. Specifically, a novel resilient distributed observer in the...
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作者：Chi, Ronghu; Li, Huaying; Shen, Dong; Hou, Zhongsheng; Huang, Biao
作者单位：Qingdao University of Science & Technology; Renmin University of China; Qingdao University; University of Alberta
摘要：In this article, an indirect adaptive iterative learning control (iAILC) scheme is proposed for both linear and nonlinear systems to enhance the P-type controller by learning from set points. An adaptive mechanism is included in the iAILC method to regulate the learning gain using input-output measurements in real time. An iAILC method is first designed for linear systems to improve control performance by fully utilizing model information if such a linear model is known exactly. Then, an itera...
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作者：Qi, Wenhai; Zong, Guangdeng; Hou, Yakun; Chadli, Mohammed
作者单位：Qufu Normal University; Chengdu University; Tiangong University; Universite Paris Saclay
摘要：This article is devoted to the discrete-time sliding mode control (DSMC) for nonlinear semi-Markovian switching systems (S-MSSs). Motivated by the fact that the complete information of the semi-Markov Kernel is difficult to be obtained in practical applications, it is recognized to be partly unknown as the most common mean. By utilizing the prior information of the sojourn-time upper bound for each switching mode, sufficient conditions under the equivalent DSMC law are proposed for the mean sq...
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作者：Wang, Xuan; Mou, Shaoshuai; Anderson, Brian D. O.
作者单位：George Mason University; Purdue University System; Purdue University; Australian National University; Hangzhou Dianzi University
摘要：Inspired and underpinned by the idea of integral feedback, a distributed constant gain algorithm is proposed for multiagent networks to solve convex optimization problems with local linear constraints. Assuming agent interactions are modeled by an undirected graph, the algorithm is capable of achieving the optimum solution with an exponential convergence rate. Furthermore, inherited from the beneficial integral feedback, the proposed algorithm has attractive requirements on communication bandw...
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作者：Zeng, Xianlin; Lei, Jinlong; Chen, Jie
作者单位：Beijing Institute of Technology; Tongji University
摘要：This article develops a continuous-time primal-dual accelerated method with an increasing damping coefficient for a class of convex optimization problems with affine equality constraints. This article analyzes critical values for parameters in the proposed method and prove that the rate of convergence in terms of the duality gap function is O( 1/t(2)) by choosing suitable parameters. As far as we know, this is the first continuous-time primaldual accelerated method that can obtain the optimal ...
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作者：Zhao, Wenxiao; Weyer, Erik; Yin, George; Dong, Daoyi; Zhang, Yahui; Shen, Tielong
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; University of Melbourne; University of Connecticut; University of New South Wales Sydney; Yanshan University; Sophia University
摘要：In this article, adaptive regulation of block-oriented nonlinear systems, i.e., Hammerstein and Wiener systems, with binary-valued measurements of the regulation errors is considered. Compared with the classical framework for stochastic adaptive control, the new feature here is that only binary-valued observations of regulation errors are available to the controller. An adaptive regulator based on the stochastic approximation algorithm is proposed and it is proved that the regulator is optimal...
