Event-trigger-based composite leader-following consensus control for stochastic multi-agent systems

IF 2.5 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

European Journal of Control Pub Date : 2025-05-20 DOI:10.1016/j.ejcon.2025.101251

Baoyu Wen, Jiangshuai Huang

引用次数: 0

Abstract

This paper investigates the leader-following output-feedback control problems for stochastic multi-agent systems (SMASs) with each agent’s model in the form of strict-feedback. For the case where the states of each agents are assumed to be unknown, a type of high-gain observers are developed. On this basis, and by incorporating an dynamic variable, a dynamic event-triggered controller is formulated, depending exclusively on the output information of adjacent agents. In addition, a self-triggering mechanism is introduced to mitigate the need for continuous states monitoring. By employing the algebra graph theory and stochastic analysis, the 1th moment exponential leader-following consensus for the SMASs can be proved. The efficacy of theoretical results is corroborated through simulation results.

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基于事件触发的随机多智能体系统复合领导跟随共识控制

研究了具有严格反馈模型的随机多智能体系统（SMASs）的领导-跟随输出反馈控制问题。对于每个agent的状态都假定为未知的情况，开发了一种高增益的观测器。在此基础上，通过加入一个动态变量，构建了一个动态事件触发控制器，该控制器完全依赖于相邻agent的输出信息。此外，还引入了自触发机制，以减少对连续状态监控的需求。利用代数图理论和随机分析，证明了SMASs的第1阶指数式前导-跟随一致性。仿真结果验证了理论结果的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European Journal of Control 工程技术-自动化与控制系统

CiteScore

5.80

自引率

5.90%

发文量

131

审稿时长

1 months

期刊介绍： The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.