Asynchronous Fault Detection and Isolation for Markov Jump Systems With Actuator Failures Under Networked Environment

被引:39
作者
Long, Yue [1 ,2 ]
Park, Ju H. [2 ]
Ye, Dan [3 ]
机构
[1] Northeast Elect Power Univ, Sch Automat Engn, Jilin 132012, Jilin, Peoples R China
[2] Yeungnam Univ, Dept Elect Engn, Kyongsan 38541, South Korea
[3] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2021年 / 51卷 / 06期
基金
新加坡国家研究基金会;
关键词
Actuator failure; asynchronous filtering; fault detection and isolation (FDI); finite frequency; Markov system; FINITE FREQUENCY-DOMAIN; DESIGN; OBSERVER;
D O I
10.1109/TSMC.2019.2930995
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is concerned with the asynchronous fault detection and isolation (FDI) strategy in finite frequency domain for Markov jump systems (MJSs) with actuator failures under networked environment. A set of binary-valued Bernoulli distributed sequences is introduced to describe the transmission and the scheduling of the sensor nodes. Then, an MJS directing by two Markov process and with multiple stochastic parameters is derived to characterize the whole system dynamics. Subsequently, by means of the stochastic H_ index in finite frequency domain and the geometric mapping approach, an asynchronous FDI scheme is investigated, in which the filters complete the FDI mission with only partial information of the measurements. Meanwhile, each FDI filter is only sensitive to one possible actuator fault and decoupled from others. Then the existence of the desired filters is ensured by some novel sufficient conditions. Finally, an application example is presented to show the effectiveness of the proposed theoretical results.
引用
收藏
页码:3477 / 3487
页数:11
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