中文版 | English
题名

Distributed exponential state estimation of linear systems over jointly connected switching networks

作者
通讯作者Huang,Jie
发表日期
2024
DOI
发表期刊
ISSN
0005-1098
卷号159
摘要
Recently, the distributed state estimation problem for continuous-time linear systems over jointly connected switching networks was solved. Due to the use of the generalized Barbalat's Lemma, it can only show that the estimation errors asymptotically converge to the origin. By a completely different approach, this paper further studies the distributed state estimation problem with two new features. First, the asymptotic convergence is strengthened to the exponential convergence. This strengthened result not only offers a guaranteed convergence rate, but also renders the error system total stability and thus the capability to withstand small disturbances. Second, the coupling gains of our local observers can be different from each other and thus offers greater design flexibility, while the coupling gains in the existing result were required to be identical. These two new features are achieved by establishing exponential stability for two classes of linear time-varying systems, which may have other applications.
关键词
相关链接[Scopus记录]
收录类别
SCI ; EI
语种
英语
学校署名
第一
ESI学科分类
ENGINEERING
Scopus记录号
2-s2.0-85175179761
来源库
Scopus
引用统计
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/602218
专题工学院_系统设计与智能制造学院
作者单位
1.Shenzhen Key Laboratory of Control Theory and Intelligent Systems,Southern University of Science and Technology,Shenzhen,518055,China
2.Department of Mechanical and Automation Engineering,The Chinese University of Hong Kong,Shatin, N.T.,Hong Kong
第一作者单位系统设计与智能制造学院
第一作者的第一单位系统设计与智能制造学院
推荐引用方式
GB/T 7714
Liu,Tao,Huang,Jie. Distributed exponential state estimation of linear systems over jointly connected switching networks[J]. Automatica,2024,159.
APA
Liu,Tao,&Huang,Jie.(2024).Distributed exponential state estimation of linear systems over jointly connected switching networks.Automatica,159.
MLA
Liu,Tao,et al."Distributed exponential state estimation of linear systems over jointly connected switching networks".Automatica 159(2024).
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