Filter Design for Stochastically Perturbed T-S Fuzzy Systems

被引：0
|
作者：
Su, Xiaojie [1 ]
Shi, Peng [2 ,3 ]
Wu, Ligang [1 ]
Yang, Rongni [4 ]
机构：
[1] Harbin Inst Technol, Space Control & Inertial Technol Res Ctr, Harbin 150001, Peoples R China
[2] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia
[3] Victoria Univ, Coll Engn & Sci, Melbourne, Vic 8001, Australia
[4] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
来源：
2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA) | 2013年
基金：
中国国家自然科学基金;
关键词：
INFINITY MODEL-REDUCTION; DISCRETE-TIME-SYSTEMS; FEEDBACK; DELAYS;
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 problem of induced l(2) filter design is investigated for a class of T-S fuzzy Ito stochastic systems. A novel comparison model is introduced by employing a new approximation for time-varying delay state, and then sufficient conditions are proposed for the resulting filtering error system. The desired filter is to be stochastically stable and meets an induced l(2) performance index by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms.
引用
收藏
页码：1109 / 1114
页数：6
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