Distributed fault-tolerant consensus for two-time-scale multiagent systems against multiple faults and random attacks via a generalized two-step transmission mechanism

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2025-03-13 DOI:10.1016/j.jfranklin.2025.107640
Qing Hao , Mengzhuo Luo , Jun Cheng , Kaibo Shi
{"title":"Distributed fault-tolerant consensus for two-time-scale multiagent systems against multiple faults and random attacks via a generalized two-step transmission mechanism","authors":"Qing Hao ,&nbsp;Mengzhuo Luo ,&nbsp;Jun Cheng ,&nbsp;Kaibo Shi","doi":"10.1016/j.jfranklin.2025.107640","DOIUrl":null,"url":null,"abstract":"<div><div>This paper delves into an event-based two-step transmission mechanism (TSTM) within multi-agent systems (MASs), particularly addressing the consensus control challenges posed by cyber–physical threats (CPTs). Firstly, to bolster the security and reliability of MASs in the face of CPTs, we introduce a sophisticated distributed normalized observer-controller framework which is adept at more precisely estimating unknown states and faults. Subsequently, we devised a distributed fault-tolerant consensus control (DFTCC) mechanism, which sustains the resilience of MASs against malicious attacks, compensates for system failures, and exhibits remarkable robustness to noise under challenging CPTs. Secondly, in order to mitigate network congestion, expedite data transmission rates, and optimize overall performance metrics, we propose a generalized event-based TSTM, tailored for MASs. In the initial phase, we employ a traditional event-triggered mechanism (ETM) designed to filter and temporarily store critical data trigger groups; subsequently probabilistic methods are employed to ascertain the real release packets (RRP), thereby enhancing accuracy significantly. This methodology adeptly addresses consensus challenges within MAS by substantially alleviating system burdens while ensuring instantaneous communication among components. Finally, by concurrently examining the dynamics of both fast and slow MASs through singular perturbation theory frameworks, we decompose an interrelated class of two-time-scale MASs (TTSMAS) into distinct yet discernible dynamics characterized by slower temporal scales. Moreover, through simulation experiments this methodology has proven remarkably effective in significantly enhancing the performance efficiency of MASs.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 6","pages":"Article 107640"},"PeriodicalIF":3.7000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003225001346","RegionNum":3,"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 delves into an event-based two-step transmission mechanism (TSTM) within multi-agent systems (MASs), particularly addressing the consensus control challenges posed by cyber–physical threats (CPTs). Firstly, to bolster the security and reliability of MASs in the face of CPTs, we introduce a sophisticated distributed normalized observer-controller framework which is adept at more precisely estimating unknown states and faults. Subsequently, we devised a distributed fault-tolerant consensus control (DFTCC) mechanism, which sustains the resilience of MASs against malicious attacks, compensates for system failures, and exhibits remarkable robustness to noise under challenging CPTs. Secondly, in order to mitigate network congestion, expedite data transmission rates, and optimize overall performance metrics, we propose a generalized event-based TSTM, tailored for MASs. In the initial phase, we employ a traditional event-triggered mechanism (ETM) designed to filter and temporarily store critical data trigger groups; subsequently probabilistic methods are employed to ascertain the real release packets (RRP), thereby enhancing accuracy significantly. This methodology adeptly addresses consensus challenges within MAS by substantially alleviating system burdens while ensuring instantaneous communication among components. Finally, by concurrently examining the dynamics of both fast and slow MASs through singular perturbation theory frameworks, we decompose an interrelated class of two-time-scale MASs (TTSMAS) into distinct yet discernible dynamics characterized by slower temporal scales. Moreover, through simulation experiments this methodology has proven remarkably effective in significantly enhancing the performance efficiency of MASs.
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
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Event-triggered control for output regulation of probabilistic Boolean control networks under dimension reduction method Distributed fault-tolerant consensus for two-time-scale multiagent systems against multiple faults and random attacks via a generalized two-step transmission mechanism Date-driven deadbeat sliding mode control using input/output differences Stability analysis of generalized second-order nonlinear control systems Distributed adaptive Nash equilibrium seeking in high-order multiagent systems under time-varying unknown disturbances
×
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