Event-based integral sliding mode control for leader-follower consensus with perturbed agent dynamics

IF 8.1 1区 计算机科学 0 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Sciences Pub Date : 2024-10-10 DOI:10.1016/j.ins.2024.121535
Tara Swaraj , Krishanu Nath , Manas Kumar Bera , Rajiv Kumar Mishra , Sudipta Chakraborty
{"title":"Event-based integral sliding mode control for leader-follower consensus with perturbed agent dynamics","authors":"Tara Swaraj ,&nbsp;Krishanu Nath ,&nbsp;Manas Kumar Bera ,&nbsp;Rajiv Kumar Mishra ,&nbsp;Sudipta Chakraborty","doi":"10.1016/j.ins.2024.121535","DOIUrl":null,"url":null,"abstract":"<div><div>This manuscript proposes the design of an event-triggered integral sliding mode (ET-ISM)-based distributed controller for multi-agent systems (MASs) to achieve consensus between the leader and followers. Specifically, we consider the MASs, having multi-input-multi-output (MIMO) linear dynamics with unknown bounded perturbations. The information flow in the network is modelled by the directed graph. The design of the continuous-time integral sliding mode (ISM) controller is discussed first, followed by an ET-ISM strategy using a novel triggering rule to avoid periodic communication between the leader and agents. Unlike the earlier works, our proposed method uses an event function entirely devoid of non-differentiable terms to define the triggering condition. The stability of robust closed-loop dynamics of the network is guaranteed using Lyapunov stability theory, and the existence of practical sliding motion (PSM) is established by calculating the band for PSM as well as the band of convergence of the disagreement vector. The Zeno-free behaviour of the closed-loop system is also ensured to show that the sampling is well-behaved means the triggering approach generates a finite number of events. Finally, we take up a numerical example to discuss the design process of the proposed controller and present the simulation results along with a detailed analysis.</div></div>","PeriodicalId":51063,"journal":{"name":"Information Sciences","volume":"690 ","pages":"Article 121535"},"PeriodicalIF":8.1000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Sciences","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S002002552401449X","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This manuscript proposes the design of an event-triggered integral sliding mode (ET-ISM)-based distributed controller for multi-agent systems (MASs) to achieve consensus between the leader and followers. Specifically, we consider the MASs, having multi-input-multi-output (MIMO) linear dynamics with unknown bounded perturbations. The information flow in the network is modelled by the directed graph. The design of the continuous-time integral sliding mode (ISM) controller is discussed first, followed by an ET-ISM strategy using a novel triggering rule to avoid periodic communication between the leader and agents. Unlike the earlier works, our proposed method uses an event function entirely devoid of non-differentiable terms to define the triggering condition. The stability of robust closed-loop dynamics of the network is guaranteed using Lyapunov stability theory, and the existence of practical sliding motion (PSM) is established by calculating the band for PSM as well as the band of convergence of the disagreement vector. The Zeno-free behaviour of the closed-loop system is also ensured to show that the sampling is well-behaved means the triggering approach generates a finite number of events. Finally, we take up a numerical example to discuss the design process of the proposed controller and present the simulation results along with a detailed analysis.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于事件的积分滑模控制,实现具有扰动代理动态的领导者-追随者共识
本文提出了一种基于事件触发积分滑动模式(ET-ISM)的多代理系统(MAS)分布式控制器的设计方案,以实现领导者与追随者之间的共识。具体来说,我们考虑的是具有未知有界扰动的多输入多输出(MIMO)线性动力学的 MAS。网络中的信息流由有向图模拟。我们首先讨论了连续时间积分滑动模式(ISM)控制器的设计,然后讨论了使用新型触发规则的 ET-ISM 策略,以避免领导者与代理之间的周期性通信。与之前的研究不同,我们提出的方法使用完全不含无差别项的事件函数来定义触发条件。利用李雅普诺夫稳定性理论保证了网络鲁棒闭环动力学的稳定性,并通过计算实际滑动运动(PSM)的频带以及分歧向量的收敛频带确定了实际滑动运动(PSM)的存在。我们还确保了闭环系统的无 Zeno 行为,表明采样行为良好意味着触发方法会产生有限数量的事件。最后,我们以一个数值示例讨论了所提控制器的设计过程,并给出了仿真结果和详细分析。
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 去求助
来源期刊
Information Sciences
Information Sciences 工程技术-计算机:信息系统
CiteScore
14.00
自引率
17.30%
发文量
1322
审稿时长
10.4 months
期刊介绍: Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions. Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.
期刊最新文献
Editorial Board Community structure testing by counting frequent common neighbor sets Finite-time secure synchronization for stochastic complex networks with delayed coupling under deception attacks: A two-step switching control scheme Adaptive granular data compression and interval granulation for efficient classification Introducing fairness in network visualization
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1