Unknown-input-observer-based approach to dynamic event-triggered fault estimation for Markovian jump systems with time-varying delays  

作　　者：Xiaoting DU Lei ZOU Zhongyi ZHAO Yezheng WANG Maiying ZHONG 

机构地区：[1]College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China [2]Department of Computer Science,Brunel University London,Uxbridge UB83PH,UK

出　　处：《Science China(Information Sciences)》2022年第3期134-147,共14页中国科学（信息科学）（英文版）

基　　金：supported in part by National Natural Science Foundation of China (Grants Nos. 61873149,61703245, 61733009);Research Fund for the Taishan Scholar Project of Shandong Province of China。

摘　　要：This paper investigates the unknown-input-observer-based fault estimation problem for a class of discrete-time-delay Markovian jump systems under the dynamic event-triggered transmission scheme. The dynamic event-triggered mechanism is used to decide whether the current information should be transmitted to the estimator or not to save the limited communication resources. This study aims to design an event-based fault estimator such that the estimation error is exponentially ultimately bounded in the mean square sense.By adopting the Lyapunov-Krasovskii functional approach, sufficient conditions are obtained to guarantee the existence of the desired estimator to achieve the prescribed performance requirement. The estimator gains are derived based on the convex optimization technique. A numerical example is provided to illustrate the effectiveness of the developed estimator design scheme.

关 键 词：fault estimation unknown input observer Markovian jump systems dynamic event-triggered mechanism time-varying delays 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] O211.62[自动化与计算机技术—控制科学与工程]