Robust cooperative output regulation for linear multi-agent systems under intermittent measurements

IF 4.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2025-01-01 Epub Date: 2024-12-21 DOI:10.1016/j.jfranklin.2024.107473
Horacio García-Vázquez , Ulises Larios-Navarro , Bernardino Castillo-Toledo , Stefano Di Gennaro
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Abstract

This paper addresses the problem of cooperative output regulation for uncertain linear multi-agent systems under asynchronous intermittent measurements. The relevant theory for the solution of the robust output regulation problem with asynchronous intermittent reference transmission for a single agent is first developed, extending the classical assumptions and the invariance condition given by the Francis equations and the internal model principle of the continuous output regulation problem to the hybrid framework. The results obtained for a single agent are then applied to multi-agent systems by developing a novel hybrid distributed observer and control law, despite the communication constraints between agents, which are assumed to share their outputs at asynchronous instants. The controller design is based on a leader–follower scheme with a virtual leader, modeled as an exosystem, and a set of followers, modeled as heterogeneous linear systems with uncertainties. The communication structure is described by a directed graph, which only needs to be available at least once between two time bounds, solving the frequent problems of switching topologies and Zeno-like behaviors. The stability and regulation conditions of the multi-agent system are proven and guaranteed by the existence of a solution to a finite set of linear matrix inequalities. The effectiveness of the contribution is compared with previous results in numerical examples and demonstrated through simulation in a particular example of a multi-agent system.
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间歇测量下线性多智能体系统的鲁棒协同输出调节
研究了不确定线性多智能体系统在异步间歇测量条件下的协同输出调节问题。首先建立了求解具有异步间歇参考传输的单智能体鲁棒输出调节问题的相关理论,将Francis方程给出的经典假设和不变性条件以及连续输出调节问题的内模原理推广到混合框架。然后,通过开发一种新的混合分布式观测器和控制律,将单智能体的结果应用于多智能体系统,尽管智能体之间存在通信约束,假设它们在异步时刻共享它们的输出。控制器设计基于一个领导者-追随者方案,其中一个虚拟领导者建模为一个外部系统,一组追随者建模为具有不确定性的异构线性系统。通信结构由一个有向图描述,该有向图只需要在两个时间范围内至少可用一次,解决了切换拓扑和类似芝诺行为的频繁问题。利用有限线性矩阵不等式解的存在性证明了多智能体系统的稳定性和调节条件。通过数值算例与以往的结果进行了比较,并通过多智能体系统的具体实例进行了仿真验证。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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