Distributed Secure State Estimation of Multi-Agent Systems Under Homologous Sensor Attacks

doi:10.1109/JAS.2022.105920

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Distributed Secure State Estimation of Multi-Agent Systems Under Homologous Sensor Attacks
	Yukun Shi; Youqing Wang; Jianyong Tuo
Source Publication	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2023
Volume	10 Issue:1 Pages:67-77
Abstract	This paper addresses the problem of distributed secure state estimation for multi-agent systems under homologous sensor attacks. Two types of secure Luenberger-like distributed observers are proposed to estimate the system state and attack signal simultaneously. Specifically, the proposed two observers are applicable to deal with the cases in the presence and absence of time delays during network communication. It is also shown that the proposed observers can ensure the attack estimations from different agents asymptotically converge to the same value. Sufficient conditions for guaranteeing the asymptotic convergence of the estimation errors are derived. Simulation examples are finally provided to demonstrate the effectiveness of the proposed results.
Keyword	Consensus-based Luenberger-like observer distributed secure state estimation homologous signal
DOI	10.1109/JAS.2022.105920
Citation statistics
Document Type	期刊论文
Identifier	http://ir.ia.ac.cn/handle/173211/50727
Collection	学术期刊_IEEE/CAA Journal of Automatica Sinica
Recommended Citation GB/T 7714	Yukun Shi,Youqing Wang,Jianyong Tuo. Distributed Secure State Estimation of Multi-Agent Systems Under Homologous Sensor Attacks[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(1):67-77.
APA	Yukun Shi,Youqing Wang,&Jianyong Tuo.(2023).Distributed Secure State Estimation of Multi-Agent Systems Under Homologous Sensor Attacks.IEEE/CAA Journal of Automatica Sinica,10(1),67-77.
MLA	Yukun Shi,et al."Distributed Secure State Estimation of Multi-Agent Systems Under Homologous Sensor Attacks".IEEE/CAA Journal of Automatica Sinica 10.1(2023):67-77.

Files in This Item:		Download All
File Name/Size	DocType	Version	Access	License
JAS-2022-0437.pdf（1882KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	View Download

File name:	JAS-2022-0437.pdf
Format:	Adobe PDF

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Institution:
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh

中国科学院自动化研究所机构知识库