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

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

扫码查看
原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
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 measure-ment data should be transmitted to the estimator or not.To guar-antee 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 estima-tor 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 exis-tence of the desired estimator,ensuring that the specified perfor-mance 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 con-ducted to demonstrate the effectiveness of the designed estimator.

Dynamic event-triggered mechanism(DETM)fault estimationnonlinear time-varying complex networksset-member-ship filteringunknown input observer

Xiaoting Du、Lei Zou、Maiying Zhong

展开 >

College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China

College of Information Science and Technology,Donghua University,Shanghai 201620

Engineering Research Center of Digitalized Textile and Fashion Technology,Ministry of Education,Shanghai 201620,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaResearch Fund for the Taishan Scholar Project of Shandong Province of China,and the Shanghai Pujiang Program of China

622330126227308722PJ1400400

2024

10.1109/JAS.2023.124119

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN：2329-9266
年,卷(期)：2024.11(3)
  • 34