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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：Sun, Zong-Yao; Li, Jiao-Jiao; Wen, Changyun; Chen, Chih-Chiang
作者单位：Qufu Normal University; Nanyang Technological University; National Cheng Kung University
摘要：This article explores the adaptive designated-time stabilizing strategy for a class of uncertain time-varying nonlinear systems. The inspiration is driven by two challenging issues that remain unsolved in the field of prescribed-time stabilization: first, the singularity induced by infinity control magnitudes at the prescribed time instant, and second, the incapability of driving state behavior after the prescribed time. To tackle the challenges, we formulate a hybrid stabilizing controller by...
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作者：Wu, Zhaolong; Zhao, Xiaowei
作者单位：University of Warwick
摘要：This article presents an algorithm design framework for general linearly constrained convex optimization problems. Our approach offers a flexible framework to analyze and design various methods, drawing from proximal and contractive viewpoints. This framework utilizes a predictor-corrector mechanism, in which the predictor's role is to generate a predicted solution through proximally contractive mapping, and the corrector's objective is to refine this predicted solution via an inertial update ...
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作者：Dave, Aditya; Nishanth Venkatesh, S.; Malikopoulos, Andreas A.
作者单位：Cornell University
摘要：In this article, we investigate discrete-time decision-making problems in uncertain systems with partially observed states. We consider a nonstochastic model, where uncontrolled disturbances acting on the system take values in bounded sets with unknown distributions. We present a general framework for decision-making in such problems by using the notion of the information state and approximate information state and introduce conditions to identify an uncertain variable that can be used to comp...
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作者：Cuvelier, Travis; Ogden, Ronald; Tanaka, Takashi
作者单位：University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin
摘要：In this work, we study minimum data rate tracking of a dynamical system under a neuromorphic event-based sensing paradigm. We begin by bridging the gap between continuous-time (CT) system dynamics and information theory's causal rate distortion theory. We motivate the use of nonsingular source codes to quantify bitrates in event-based sampling schemes. This permits an analysis of minimum bitrate event-based tracking using tools already established in the control and information theory literatu...
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作者：Alsalti, Mohammad; Markovsky, Ivan; Lopez, Victor G.; Mueller, Matthias A.
作者单位：Leibniz University Hannover; Universitat Politecnica de Catalunya; Centre Internacional de Metodes Numerics en Enginyeria (CIMNE); ICREA
摘要：Nonparametric representations of dynamical systems based on the image of a Hankel matrix of data are extensively used for data-driven control. However, if samples of data are missing, obtaining such representations becomes a difficult task. By exploiting the kernel structure of Hankel matrices of irregularly measured data generated by a linear time-invariant system, we provide computational methods for which any complete finite-length behavior of the system can be obtained. For the special cas...
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作者：Luo, Shixian; Deng, Feiqi; Jiang, Yan
作者单位：Guangxi University; South China University of Technology
摘要：This article is devoted to stochastic convergence theorems for stochastic impulsive systems (SISs) and their application to discrete-time stochastic feedback control (DTSFC). A general stochastic Barb & abreve;lat's lemma, which only requires that the concerned stochastic processes are almost surely integrable rather than absolutely integrable in the sense of expectation, for piecewise continuous adapted processes is first proposed, which is truly parallel to the deterministic one. As an exten...
