Cooperative output feedback tracking control of heterogeneous multi-agent systems with semi-Markovian switching topologies and multiple measurement noises

IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Wenjing Wan , Zhao-Yan Li , Kai Zhang
{"title":"Cooperative output feedback tracking control of heterogeneous multi-agent systems with semi-Markovian switching topologies and multiple measurement noises","authors":"Wenjing Wan ,&nbsp;Zhao-Yan Li ,&nbsp;Kai Zhang","doi":"10.1016/j.nahs.2025.101605","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the mean square output tracking control problem in heterogeneous multi-agent systems (HMASs) influenced by semi-Markovian switching topologies and multiple forms measurement noises. A novel distributed output feedback control scheme is proposed, ensuring robustness in environments characterized by stochastic topology changes and diverse noise types. Unlike previous methods, our research addresses both additive and multiplicative noises and general sojourn time distributions during topology switching, thereby providing a more general framework. The stability and convergence of the proposed approach are rigorously analyzed using Lyapunov-based techniques, and its efficacy is validated through two examples.</div></div>","PeriodicalId":49011,"journal":{"name":"Nonlinear Analysis-Hybrid Systems","volume":"57 ","pages":"Article 101605"},"PeriodicalIF":3.7000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nonlinear Analysis-Hybrid Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751570X25000317","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper investigates the mean square output tracking control problem in heterogeneous multi-agent systems (HMASs) influenced by semi-Markovian switching topologies and multiple forms measurement noises. A novel distributed output feedback control scheme is proposed, ensuring robustness in environments characterized by stochastic topology changes and diverse noise types. Unlike previous methods, our research addresses both additive and multiplicative noises and general sojourn time distributions during topology switching, thereby providing a more general framework. The stability and convergence of the proposed approach are rigorously analyzed using Lyapunov-based techniques, and its efficacy is validated through two examples.
具有半马尔可夫切换拓扑和多重测量噪声的异构多智能体系统的协同输出反馈跟踪控制
研究了受半马尔可夫切换拓扑和多种测量噪声影响的异构多智能体系统(HMASs)的均方输出跟踪控制问题。提出了一种新的分布式输出反馈控制方案,保证了系统在随机拓扑变化和多种噪声环境下的鲁棒性。与以前的方法不同,我们的研究解决了拓扑切换过程中的加性和乘性噪声以及一般逗留时间分布,从而提供了一个更通用的框架。采用基于lyapunov的方法对该方法的稳定性和收敛性进行了严格分析,并通过两个算例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Nonlinear Analysis-Hybrid Systems
Nonlinear Analysis-Hybrid Systems AUTOMATION & CONTROL SYSTEMS-MATHEMATICS, APPLIED
CiteScore
8.30
自引率
9.50%
发文量
65
审稿时长
>12 weeks
期刊介绍: Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in any discipline. Papers that are principally concerned with the theory of hybrid systems should contain significant results indicating relevant applications. Papers that emphasize applications should consist of important real world models and illuminating techniques. Papers that interrelate various aspects of hybrid systems will be most welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信