Fault Detection for a Class of Nonlinear Singular Systems Over Networks with Mode-Dependent Time Delays

被引:5
作者
Wang, Yanqian [1 ,2 ]
Zhang, Shuyu [3 ]
Li, Ze [4 ]
Zhang, Minsong [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
[2] Shandong Inst Business & Technol, Sch Informat & Elect Engn, Yantai 264005, Shandong, Peoples R China
[3] Shandong Inst Business & Technol, Sch Publ Adm, Yantai 264005, Shandong, Peoples R China
[4] Suzhou Univ Sci & Technol, Sch Mech & Elect Engn, Suzhou 215000, Peoples R China
基金
中国国家自然科学基金;
关键词
Nonlinear singular systems; Networked control systems; Partly known distribution; Fault detection filter; Linear matrix inequality; H-INFINITY CONTROL; STOCHASTIC NONLINEARITIES; STABILIZATION; STABILITY;
D O I
10.1007/s00034-014-9797-2
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, the fault detection problem is investigated for a class of nonlinear discrete-time singular systems over networks with mode-dependent time delays. The transmission delays are modeled as a Markov chain with partly known distribution, which takes values in a finite state space. By augmenting the original nonlinear singular system and the fault detection filter, the resulting fault detection dynamics is formulated as an filtering problem of a singular Markov jump system. Regular, casual, stochastically stable of the fault detection dynamics and the prescribed attenuation level are obtained by the mode-dependent Lyapunov functional approach. The desired fault detection filter is obtained in terms of a series of feasible LMIs. A numerical example is presented to show the effectiveness of the developed technique.
引用
收藏
页码:3085 / 3106
页数:22
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