Fault detection filter design for continuous-time nonlinear Markovian jump systems with mode-dependent delay and time-varying transition probabilities

被引：0
|
作者：
B Wang
FC Zou
J Cheng
SM Zhong
机构：
[1] Xihua University,School of Electrical Engineering and Electronic Information
[2] University Electronic Science and Technology of China,School of Applied Mathematics
[3] Hubei University for Nationalities,School of Science
来源：
Advances in Difference Equations | / 2017卷
关键词：
Markovian jump system; time-varying; transition probabilities; fault detection; nonlinear;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper focuses on fault detection filter (FDF) design for continuous-time nonlinear Markovian jump systems (NMJSs) with mode-dependent delay and time-varying transition probabilities (TPs). By using a novel Lyapunov-Krasovskii function and based on convex polyhedron technique, a new FDF, as the residual generator, is constructed to guarantee the mean-square exponential stability and a prescribed level of disturbance attenuation for admissible perturbations of NMJSs. Finally, the numerical simulation is carried out to demonstrate the effectiveness of our method.
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