Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks

doi:10.1109/JAS.2023.124119

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	Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks
	Xiaoting Du; Lei Zou; Maiying Zhong
刊名	IEEE/CAA Journal of Automatica Sinica
	2024
卷号	11 期号:3 页码:638-648
关键词	Dynamic event-triggered mechanism (DETM) fault estimation nonlinear time-varying complex networks set-membership filtering unknown input observer
ISSN号	2329-9266
DOI	10.1109/JAS.2023.124119
英文摘要	The present study addresses the problem of fault estimation for a specific class of nonlinear time-varying complex networks, utilizing an unknown-input-observer approach within the framework of dynamic event-triggered mechanism (DETM). In order to optimize communication resource utilization, the DETM is employed to determine whether the current measurement data should be transmitted to the estimator or not. To guarantee a satisfactory estimation performance for the fault signal, an unknown-input-observer-based estimator is constructed to decouple the estimation error dynamics from the influence of fault signals. The aim of this paper is to find the suitable estimator parameters under the effects of DETM such that both the state estimates and fault estimates are confined within two sets of closed ellipsoid domains. The techniques of recursive matrix inequality are applied to derive sufficient conditions for the existence of the desired estimator, ensuring that the specified performance requirements are met under certain conditions. Then, the estimator gains are derived by minimizing the ellipsoid domain in the sense of trace and a recursive estimator parameter design algorithm is then provided. Finally, a numerical example is conducted to demonstrate the effectiveness of the designed estimator.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54596]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Xiaoting Du,Lei Zou,Maiying Zhong. Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(3):638-648.
APA	Xiaoting Du,Lei Zou,&Maiying Zhong.(2024).Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks.IEEE/CAA Journal of Automatica Sinica,11(3),638-648.
MLA	Xiaoting Du,et al."Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks".IEEE/CAA Journal of Automatica Sinica 11.3(2024):638-648.