Reliable filtering with extended dissipativity for uncertain systems with discrete and distributed delays

被引:14
作者
Xia, Weifeng [1 ,2 ]
Ma, Qian [1 ]
Lu, Junwei [3 ]
Zhuang, Guangming [4 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing, Jiangsu, Peoples R China
[2] Huzhou Teachers Coll, Sch Sci, Huzhou, Peoples R China
[3] Nanjing Normal Univ, Sch Elect & Automat Engn, Nanjing, Jiangsu, Peoples R China
[4] Liaocheng Univ, Sch Math Sci, Liaocheng, Peoples R China
基金
中国国家自然科学基金;
关键词
Extended dissipativity; distributed delay; uncertain system; Markov processes; state estimation; MARKOVIAN JUMP SYSTEMS; H-INFINITY CONTROL; STABILITY ANALYSIS; NEURAL-NETWORKS; SINGULAR SYSTEMS; FUZZY-SYSTEMS; TIME; DESIGN;
D O I
10.1080/00207721.2017.1337948
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with the problem of reliable filter with extended dissipativity for uncertain systems with discrete and distributed delays, and sensor-failure model of this system is assumed to be concerned with Markovian behaviour. First, based on a novel Lyapunov-Krasovskii functional, a sufficient condition, which ensures that the filtering error system is stochastically stable and extended dissipative, is obtained. Second, mode-dependent conditions for the solvability to the reliable filter with extended dissipativity problem are given in terms of linear matrix inequalities (LMIs). The desired filter parameters can be derived by using feasible solutions to the presented LMIs. Finally, two numerical examples are given to illustrate the effectiveness of the filter design method.
引用
收藏
页码:2644 / 2657
页数:14
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