Dissipativity-based Fault Detection for Markov Jump Systems with Mode-dependent Time-varying Delays

被引：0
|
作者：
Liu, Bo [1 ]
Liao, Tao [1 ]
机构：
[1] Beijing Inst Spacecraft Environm Engn, Beijing 100094, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
Dissipative; Fault detection; Markov jump systems; Mode-dependent time-varying delays; STOCHASTIC-SYSTEMS; NEURAL-NETWORKS; STABILIZATION; PROBABILITIES;
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：
In this paper, the dissipative-based fault detection problem of Markov jump systems with mode-dependent time-varying delays is investigated. More precisely, a filtering-based residual generator is constructed based on model transformation. By utilizing the Lyapunov-Krasovskii method and stochastic analysis, novel mode-dependent and delay-dependent sufficient conditions are first established to ensure that the augmented error system is stochastically stable while satisfying the given dissipative performance index. Based on the obtained conditions, the mode-dependent filter gains are further designed in terms of linear matrix inequalities (LMIs). Finally, a numerical example is provided to illustrate the effectiveness of our theoretical results.
引用
收藏
页码：1901 / 1907
页数：7
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