Robust Fault Detection for Discrete-Time Markovian Jump Linear Systems with Partly Unknown Transition Probabilities

被引：0
|
作者：
Shi Jiangbin [1 ]
Yin Yanyan [1 ]
Liu Fei [1 ]
机构：
[1] Jiangnan Univ, Inst Automat, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
关键词：
robust fault detection (RFD); Markovian jump linear systems (MJLSs); partly unknown transition probabilities; linear matrix inequalities; H-INFINITY CONTROL; STABILITY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of robust fault detection (RFD) for discrete-time Markovian jump linear systems (MJLSs) with partly unknown transition probabilities is investigated in the paper. The RFD observer (RFDO) system and the dynamics of error generator are constructed. By introducing some free-weighting matrices, the proposed method leads to less conservatism compared with the existing ones. Moreover, the H-infinity performance index is proposed to minimize the influence of the unknown disturbances. Sufficient conditions on the existence of RFDO are established and given in terms of LMIs. Finally, a simulation example is given to illustrate that the proposed RFDO can detect the faults correctly and shortly after the occurrence.
引用
收藏
页码：1862 / 1867
页数：6
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