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作者：Cheng, Xiaodong; Shi, Shengling; Lestas, Ioannis; Hof, Paul M. J. Van den
作者单位：Wageningen University & Research; Massachusetts Institute of Technology (MIT); University of Cambridge; Eindhoven University of Technology
摘要：This article deals with dynamic networks in which the causality relations between the vertex signals are represented by linear time-invariant transfer functions (modules). Considering an acyclic network where only a subset of its vertices are measured and a subset of the vertices are excited, we explore conditions under which all the modules are identifiable on the basis of measurement data. Two sufficient conditions are presented, where the first condition concerns an identifiability analysis...
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作者：Fei, Zhongyang; Wu, Zhen; Zhao, Xudong; Zong, Guangdeng; Lin-Shi, Xuefang
作者单位：Dalian University of Technology; Dalian University of Technology; Tiangong University; Weifang University; Universite Claude Bernard Lyon 1; Ecole Centrale de Lyon; Institut National des Sciences Appliquees de Lyon - INSA Lyon; Centre National de la Recherche Scientifique (CNRS)
摘要：In the sliding-mode control of switched systems, the mode-dependent sliding surface is generally considered to fulfill performance requirements of different subsystems. However, in the mode-dependent sliding surface design, the system state may oscillate among subsliding surfaces, which affects both stability and robustness. To solve this issue, this article starts from ensuring the reachability of each subsliding surface and proposes the reachability-guaranteed sliding-mode control for asynch...
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作者：Li, Yuhui; Li, Yuanlong; Lin, Zongli
作者单位：Shanghai Jiao Tong University; University of Virginia
摘要：In this article, we revisit the problem of global asymptotic stabilization of the double integrator system subject to output saturation. It is shown that there exist linear dynamic output feedback laws that globally asymptotically stabilize the double integrator system subject to output saturation. The construction of the linear output feedback laws is then presented in the form of an explicit algorithm. This method is then extended to a class of high-order systems that are of minimum phase an...
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作者：Mohammadi, Hesameddin; Razaviyayn, Meisam; Jovanovic, Mihailo R.
作者单位：University of Southern California; University of Southern California
摘要：In this article, we study momentum-based first-order optimization algorithms in which the iterations utilize information from the two previous steps and are subject to an additive white noise. This setup uses noise to account for uncertainty in either gradient evaluation or iteration updates, and it includes Polyak's heavy-ball and Nesterov's accelerated methods as special cases. For strongly convex quadratic problems, we use the steady-state variance of the error in the optimization variable ...
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作者：Queeney, James; Paschalidis, Ioannis Ch.; Cassandras, Christos G.
作者单位：Boston University; Boston University
摘要：We develop a new class of model-free deep reinforcement learning algorithms for data-driven, learning-based control. Our Generalized Policy Improvement algorithms combine the policy improvement guarantees of on-policy methods with the efficiency of sample reuse, addressing a tradeoff between two important deployment requirements for real-world control: 1) practical performance guarantees; and 2) data efficiency. We demonstrate the benefits of this new class of algorithms through extensive expe...
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作者：Bold, Lea; Gruene, Lars; Schaller, Manuel; Worthmann, Karl
作者单位：University of Bayreuth
摘要：For nonlinear (control) systems, extended dynamic mode decomposition (EDMD) is a popular method to obtain data-driven surrogate models. Its theoretical foundation is the Koopman framework, in which one propagates observable functions of the state to obtain a linear representation in an infinite-dimensional space. In this article, we prove practical asymptotic stability of an (controlled) equilibrium for EDMD-based model predictive control, in which the optimization step is conducted using the ...
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作者：Lin, Na; Ling, Qiang
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS
摘要：This article investigates the event-triggered consensus problem for a general linear multiagent system (MAS) under limited feedback bit rates. Moreover, the interagent communication edges of the MAS may be blocked by multiple attackers in an asynchronous manner. Since each agent has to quantize the feedback information into finite-bit symbols before transmissions, an asynchronous attack may break the quantization synchronization among neighboring agents. To mitigate the effects of asynchronous...
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作者：Ye, Lintao; Chi, Ming; Liu, Zhi-Wei; Gupta, Vijay
作者单位：Huazhong University of Science & Technology; Huazhong University of Science & Technology; Purdue University System; Purdue University
摘要：In this article, we study the simultaneous actuator selection and controller design problem for linear quadratic regulation with Gaussian noise over a finite horizon of length $T$ and unknown system model. We consider episodic and nonepisodic settings of the problem and propose online algorithms that specify both the sets of actuators to be utilized under a cardinality constraint and the controls corresponding to the sets of selected actuators. In the episodic setting, the interaction with the...
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作者：Ziemann, Ingvar; Sandberg, Henrik
作者单位：University of Pennsylvania; Royal Institute of Technology
摘要：In this article, we establish regret lower bounds for adaptively controlling an unknown linear Gaussian system with quadratic costs. We combine ideas from experiment design, estimation theory, and a perturbation bound of certain information matrices to derive regret lower bounds exhibiting scaling on the order of magnitude root T in the time horizon T . Our bounds accurately capture the role of control-theoretic parameters and we are able to show that systems that are hard to control are also ...
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作者：Deng, Yaosheng; Ogura, Masaki; Bai, Yang; Wang, Yujie; Feroskhan, Mir
作者单位：Nanyang Technological University; Hiroshima University; University of Wisconsin System; University of Wisconsin Madison
摘要：In this article, we propose a novel control barrier function (CBF)-based controller for nonlinear systems with complex, time-varying input constraints. To deal with these constraints, we introduce an auxiliary control input to transform the original system into an augmented one, thus reformulating the constrained-input problem into a constrained-output one. This transformation simplifies the quadratic programming formulation and enhances compatibility with the CBF framework. As a result, the p...
