Robust H∞ Fault Detection for Networked Markov Jump Systems with Random Time-Delay

被引:2
作者
Wang, Yanfeng [1 ]
Li, Zuxin [1 ]
Wang, Peiliang [1 ]
Zhou, Zhe [1 ]
机构
[1] Huzhou Univ, Sch Engn, Huzhou 313000, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
DETECTION FILTER; OUTPUT-FEEDBACK; DESIGN; STABILIZATION;
D O I
10.1155/2017/2608140
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper investigates the problem of robust H-infinity fault detection for networked Markov jump systems with random time-delay which is introduced by the network. The random time-delay is modeled as a Markov process, and the networked Markov jump systems are modeled as control systems containing two Markov chains. The delay-dependent fault detection filter is constructed. Furthermore, the sufficient and necessary conditions which make the closed-loop system stochastically stable and achieve prescribed H-infinity performance are derived. The method of calculating controller, fault detection filter gainmatrices, and the minimal H-infinity attenuation level is also obtained. Finally, one numerical example is used to illustrate the effectiveness of the proposed method.
引用
收藏
页数:9
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