具有未知但有界测量误差的多智能体系统的鲁棒一致性协议

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Quchao Ma, Cheng Song
{"title":"具有未知但有界测量误差的多智能体系统的鲁棒一致性协议","authors":"Quchao Ma,&nbsp;Cheng Song","doi":"10.1016/j.jfranklin.2025.107580","DOIUrl":null,"url":null,"abstract":"<div><div>This paper revisits the consensus problem for multi-agent systems (MASs) in the presence of unknown but bounded (UBB) measurement errors. Unlike existing works, the proposed approach accommodations agents with different upper bounds for their measurement errors. A distributed estimation algorithm is employed to estimate the state differences between neighboring agents using the inaccurate state measurements. Building on this estimation algorithm, a distributed robust consensus protocol is developed. It is demonstrated that the proposed protocol drives the MAS to a neighborhood of consensus, effectively mitigating or even eliminating the influence of UBB measurement errors on multi-agent consensus. The analysis is further extended to address the positive consensus problem for MASs with UBB measurement errors. Finally, numerical simulations confirm the effectiveness of the proposed consensus protocols.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 5","pages":"Article 107580"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust consensus protocols of multi-agent systems with unknown but bounded measurement errors\",\"authors\":\"Quchao Ma,&nbsp;Cheng Song\",\"doi\":\"10.1016/j.jfranklin.2025.107580\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper revisits the consensus problem for multi-agent systems (MASs) in the presence of unknown but bounded (UBB) measurement errors. Unlike existing works, the proposed approach accommodations agents with different upper bounds for their measurement errors. A distributed estimation algorithm is employed to estimate the state differences between neighboring agents using the inaccurate state measurements. Building on this estimation algorithm, a distributed robust consensus protocol is developed. It is demonstrated that the proposed protocol drives the MAS to a neighborhood of consensus, effectively mitigating or even eliminating the influence of UBB measurement errors on multi-agent consensus. The analysis is further extended to address the positive consensus problem for MASs with UBB measurement errors. Finally, numerical simulations confirm the effectiveness of the proposed consensus protocols.</div></div>\",\"PeriodicalId\":17283,\"journal\":{\"name\":\"Journal of The Franklin Institute-engineering and Applied Mathematics\",\"volume\":\"362 5\",\"pages\":\"Article 107580\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-02-19\",\"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/S0016003225000742\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003225000742","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

摘要

本文重新研究了存在未知但有界测量误差的多智能体系统(MASs)的一致性问题。与现有的研究不同,本文提出的方法为不同的测量误差提供了不同的上限。采用分布式估计算法,利用不准确的状态测量来估计相邻agent之间的状态差。在此估计算法的基础上,开发了一种分布式鲁棒共识协议。结果表明,所提出的协议将MAS驱动到一个共识邻域,有效地减轻甚至消除了UBB测量误差对多智能体共识的影响。进一步将分析扩展到解决具有UBB测量误差的质量的正一致性问题。最后,通过数值模拟验证了所提共识协议的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust consensus protocols of multi-agent systems with unknown but bounded measurement errors
This paper revisits the consensus problem for multi-agent systems (MASs) in the presence of unknown but bounded (UBB) measurement errors. Unlike existing works, the proposed approach accommodations agents with different upper bounds for their measurement errors. A distributed estimation algorithm is employed to estimate the state differences between neighboring agents using the inaccurate state measurements. Building on this estimation algorithm, a distributed robust consensus protocol is developed. It is demonstrated that the proposed protocol drives the MAS to a neighborhood of consensus, effectively mitigating or even eliminating the influence of UBB measurement errors on multi-agent consensus. The analysis is further extended to address the positive consensus problem for MASs with UBB measurement errors. Finally, numerical simulations confirm the effectiveness of the proposed consensus protocols.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 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.
×
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