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作者：Jiang, Shuoying; Ding, Zhengtao
作者单位：University of Manchester
摘要：This article investigates the continuous-time optimal distributed coordination problem with resource allocation constraints for general linear multiagent systems. The study is conducted over a connected undirected graph. By integrating the tracking controller design with global resource allocation optimization, fully distributed state-feedback controllers are proposed to solve optimization problems with output-based local objective functions. The dynamics of the entire multiagent system are we...
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作者：Pan, Guanru; Ou, Ruchuan; Faulwasser, Timm
作者单位：Dortmund University of Technology; Hamburg University of Technology
摘要：The fundamental lemma by J. C. Willems and coauthors enables the representation of all input-output trajectories of a linear time-invariant (LTI) system by measured input-output data. This result has proven to be pivotal for data-driven control. Building on a stochastic variant of the fundamental lemma, this article presents a data-driven output-feedback predictive control scheme for stochastic LTI systems. The considered LTI systems are subject to non-Gaussian disturbances about which only in...
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作者：Chen, Ziqin; Wang, Yongqiang
作者单位：Clemson University
摘要：Distributed online learning is gaining increased traction due to its unique ability to process large-scale datasets and streaming data. To address the growing public awareness and concern about privacy protection, plenty of algorithms have been proposed to enable differential privacy in distributed online optimization and learning. However, these algorithms often face the dilemma of trading learning accuracy for privacy. By exploiting the unique characteristics of online learning, this article...
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作者：Li, Nan; Li, Yutong; Kolmanovsky, Ilya
作者单位：Tongji University; Ford Motor Company; University of Michigan System; University of Michigan
摘要：In this note, we propose a supervisory control scheme that unifies the abilities of safety protection and safety extension. It produces a control that keeps the system safe indefinitely when such a control exists. When such a control does not exist, it optimizes the control to maximize the time before any safety violation, which translates into more time to seek recovery and/or mitigate any harm. We describe the scheme and develop an approach that integrates the two abilities into a single con...
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作者：Wang, Sijian; Yu, Xin
作者单位：Guangxi University
摘要：In this article, we develop a continuous-time algorithm based on a multiagent system for solving distributed, nonsmooth, and pseudoconvex optimization problems with local convex inequality constraints. The proposed algorithm is modeled by differential inclusion, which is based on the penalty method rather than the projection method. Compared with existing methods, the proposed algorithm has the following advantages. First, this algorithm can solve the distributed optimization problem, in which...
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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：Chen, Yuhan; Liu, Tao; Huang, Jie
作者单位：Southern University of Science & Technology; Chinese University of Hong Kong
摘要：The leader-following consensus problem for general linear multiagent systems over jointly connected switching networks has been a challenging problem and the solvability of the problem has been limited to the class of linear multiagent systems whose system matrix is marginally stable. This condition is restrictive since it even excludes the most commonly used double-integrator system. This article presents an advancement by showing that leader-following exponential consensus is achievable for ...
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作者：Costa, Ramon R.
作者单位：Universidade Federal Rural do Rio de Janeiro (UFRRJ); Universidade Federal do Rio de Janeiro
摘要：A Lyapunov-based least-squares model-reference adaptive controller was recently developed for plants with relative degree one. The algorithm exhibits a remarkable tracking error transient performance while also ensuring fast parameter convergence. In this article, we generalize this algorithm to the more complex and challenging case of plants with higher relative degree. The key elements for the design procedure are the strictly positive real (SPR) principle and the backstepping technique. The...
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作者：Lhachemi, Hugo
作者单位：Universite Paris Saclay; Centre National de la Recherche Scientifique (CNRS)
摘要：This article presents an output feedback control strategy for the setpoint regulation control of heat equations. Inspired by classical finite-dimensional methods, the adopted approach leverages an integral component of the tracking error. The reported approach relies on spectral reduction methods, directly applied to the heat equation once augmented with the integral component. It is shown that the adopted boundary control design strategy can always be successfully implemented for the setpoint...
