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作者：Xiang, Qiaomin; Wu, Ze-Hao; Zhou, Hua-Cheng; Park, Ju H.; Guo, Bao-Zhu
作者单位：Foshan University; Yeungnam University; Central South University; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; North China Electric Power University
摘要：In this article, boundary output feedback exponential stabilization and disturbance rejection for a chaotic wave system with superlinear boundary condition and unknown boundary disturbance are investigated. By using measured outputs, an infinite-dimensional disturbance estimator is designed to estimate the unknown boundary disturbance without requiring the conventional boundedness of its derivative and high gain of the estimator. A novel disturbance estimator-based boundary control, comprised ...
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作者：Yu, Xin; Lin, Wei
作者单位：Jiangsu Normal University; University System of Ohio; Case Western Reserve University
摘要：This article investigates the problem of when stochastic nonlinear systems that are $l$th moment asymptotically stabilizable ($l$th MAS) are tolerant to input delay. Substantially different from the existing related literature, our focal point is on a class of stochastic systems that may be neither locally Lipschitz continuous nor linear growth, and not $l$th MAS by smooth feedback. To address the problem of input delay tolerance (IDT), we first present the existence of the solutions for a cla...
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作者：Ding, Yong; Ren, Wei; Meng, Ziyang
作者单位：University of California System; University of California Riverside; Tsinghua University
摘要：This article investigates the optimal distributed time-varying resource allocation problem for networked high-order systems with time-varying quadratic cost functions. Due to the coexistence of challenges caused by nonidentical Hessian matrices and more complicated agents' dynamics, the extension from existing related results on single-integrator agents is nontrivial. First, a centralized algorithm is proposed to address the optimal time-varying resource allocation problem for high-order-integ...
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作者：Savas, Yagiz; Verginis, Christos K.; Hibbard, Michael; Topcu, Ufuk
作者单位：University of Texas System; University of Texas Austin
摘要：In this article, we study the synthesisof a policy in a Markov decision process (MDP) following which an agent reaches a target state in the MDP while minimizing its total discounted cost. The problem combines a reachability criterion with a discounted cost criterion and naturally expresses the completion of a task with probabilistic guarantees and optimal transient performance. We first establish that an optimal policy for the considered formulation may not exist but that there always exists ...
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作者：Seuret, Alexandre; Tarbouriech, Sophie
作者单位：University of Sevilla; Centre National de la Recherche Scientifique (CNRS); Universite de Toulouse
摘要：This article deals with the problem of providing a data-driven solution to the local stabilization of linear systems subject to input saturation. After presenting a model-based solution to this well-studied problem, a systematic method to transform model-driven into data-driven linear matrix inequality (LMI) conditions is presented. This technical solution is demonstrated to be equivalent to the recent advanced results on LMI formulations based on S-procedure or Peterson lemmas. However, the a...
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作者：Wang, Dong; Liu, Jiaxun; Lian, Jie; Dong, Xiwang; Wang, Wei
作者单位：Dalian University of Technology; Dalian University of Technology; Beihang University; Beihang University
摘要：This article studies the Nash equilibrium (NE) seeking problem for multiple coalition games over unbalanced directed graphs, where the players in the same coalition aim to achieve the optimal consensus cooperatively, but different coalitions competitively seek the NE. A distributed algorithm is proposed based on the coalition estimate strategy (CES) and the gradient tracking method. The CES directly estimates the consensus decision in a coalition rather than all decisions of other players, and...
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作者：Wolff, Tobias M.; Lopez, Victor G.; Mueller, Matthias A.
作者单位：Leibniz University Hannover
摘要：In this article, a robust data-driven moving horizon estimation (MHE) scheme for linear time-invariant discrete-time systems is introduced. The scheme solely relies on offline collected data without employing any system identification step. We prove practical robust exponential stability for the setting where both the online measurements and the offline collected data are corrupted by nonvanishing and bounded noise. The behavior of the novel robust data-driven MHE scheme is illustrated by mean...
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作者：Gokcesu, Hakan; Kozat, Suleyman Serdar
作者单位：Ihsan Dogramaci Bilkent University; Turkcell Turkey
摘要：We introduce an online convex optimization algorithm which utilizes projected subgradient descent with optimal adaptive learning rates. We provide a second-order minimax-optimal dynamic regret guarantee (i.e., dependent on the sum of squared subgradient norms) for a sequence of general convex functions, which may not have strong-convexity, smoothness, exp-concavity or even proper Lipschitz-continuity. The guarantee holds against any comparator sequence with bounded path variation (i.e., the su...
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作者：Komenda, Jan; Masopust, Tomas
作者单位：Czech Academy of Sciences; Institute of Mathematics of the Czech Academy of Sciences; Palacky University Olomouc
摘要：Complex systems are often composed of many small communicating components called modules. We investigate the synthesis of supervisory controllers for modular systems under partial observation that, as the closed-loop system, realize the supremal normal sublanguage of the specification. Such controllers are called maximally permissive normal supervisors. The challenge in modular systems is to find conditions under which the global nonblocking and maximally permissive normal supervisor can be ac...
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作者：Li, Xiuxian; Meng, Min; Xie, Lihua
作者单位：Tongji University; Tongji University; Nanyang Technological University
摘要：This article investigates the distributed fixed-point finding problem for a global operator over a directed and unbalanced multiagent network, where the global operator is quasi-nonexpansive and only partially accessible to each individual agent. Two cases are addressed, i.e., the global operator is sum separable and block separable. For this first case, the global operator is the sum of local operators, which are assumed to be Lipschitz, and each local operator is privately known to each indi...
