Distributed consensus-based estimation for non-linear systems subject to missing measurements and Denial of Service attacks

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yongzhen Guo, Li Li, Yuanqing Xia, Yanxin Wen, Jingjing Guo
{"title":"Distributed consensus-based estimation for non-linear systems subject to missing measurements and Denial of Service attacks","authors":"Yongzhen Guo,&nbsp;Li Li,&nbsp;Yuanqing Xia,&nbsp;Yanxin Wen,&nbsp;Jingjing Guo","doi":"10.1049/cps2.12066","DOIUrl":null,"url":null,"abstract":"<p>This article studies a distributed consensus-based estimation problem for discrete time-varying non-linear systems with missing measurements and Denial of Service (DoS) attacks. The probability of missing measurements is independent for each sensor. The communication link between sensor nodes is unreliable and subjected to DoS attacks. To achieve accurate state estimation against missing measurements, a local estimator with compensation mechanism is designed for each sensor node. A stochastic event-triggered mechanism is used to lessen additional information transfer. Based on this, a distributed consensus-based estimator is constructed by continually fusing local neighbours information matrixs and vectors. Moreover, the analysis of the designed estimator boundedness is presented. Finally, the effectiveness of the proposed algorithm is verified by three numerical examples.</p>","PeriodicalId":36881,"journal":{"name":"IET Cyber-Physical Systems: Theory and Applications","volume":"9 1","pages":"50-62"},"PeriodicalIF":1.7000,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cps2.12066","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Cyber-Physical Systems: Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/cps2.12066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This article studies a distributed consensus-based estimation problem for discrete time-varying non-linear systems with missing measurements and Denial of Service (DoS) attacks. The probability of missing measurements is independent for each sensor. The communication link between sensor nodes is unreliable and subjected to DoS attacks. To achieve accurate state estimation against missing measurements, a local estimator with compensation mechanism is designed for each sensor node. A stochastic event-triggered mechanism is used to lessen additional information transfer. Based on this, a distributed consensus-based estimator is constructed by continually fusing local neighbours information matrixs and vectors. Moreover, the analysis of the designed estimator boundedness is presented. Finally, the effectiveness of the proposed algorithm is verified by three numerical examples.

Abstract Image

基于分布式共识的非线性系统估算,受测量缺失和拒绝服务攻击的影响
本文研究了一个基于分布式共识的估计问题,该问题适用于具有缺失测量和拒绝服务(DoS)攻击的离散时变非线性系统。每个传感器丢失测量值的概率是独立的。传感器节点之间的通信链路不可靠,并且会受到 DoS 攻击。为了在缺失测量的情况下实现精确的状态估计,为每个传感器节点设计了一个具有补偿机制的本地估计器。采用随机事件触发机制来减少额外的信息传输。在此基础上,通过不断融合本地邻域信息矩阵和向量,构建了基于共识的分布式估计器。此外,还对所设计的估计器的约束性进行了分析。最后,通过三个数值实例验证了所提算法的有效性。
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
IET Cyber-Physical Systems: Theory and Applications
IET Cyber-Physical Systems: Theory and Applications Computer Science-Computer Networks and Communications
CiteScore
5.40
自引率
6.70%
发文量
17
审稿时长
19 weeks
×
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