Delay-dependent H∞ filtering for discrete-time fuzzy stochastic systems with mixed delays and sector-bounded nonlinearity

被引：5

作者：

Hua, Mingang ^{[1
,2
]}

Cai, Yixi ^{[1
]}

Ni, Jianjun ^{[1
]}

Fei, Juntao ^{[1
]}

机构：

[1] Hohai Univ, Coll Comp & Informat, Changzhou 213022, Peoples R China

[2] Jiangsu Key Lab Power Transmiss & Distribut Equip, Changzhou 213022, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2015年 / 352卷 / 08期

基金：

高等学校博士学科点专项科研基金;

关键词：

NEURAL-NETWORKS; STATE ESTIMATION; DISTRIBUTED DELAYS; STABILITY ANALYSIS; DESIGN;

D O I：

10.1016/j.jfranklin.2014.11.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The delay-dependent 11 3 filter problem for discrete-time Takagi-Sugeno (T-S) fuzzy stochastic systems with mixed delays and sector-bounded nonlinearity is considered in this paper. The mixed delays consist of both discrete and distributed delays, and the nonlinearity under consideration is subject to sector-bounded condition. Both the the fuzzy-rule-dependent and fuzzy-rule-independent filters are considered. Based on discrete Jensen inequality and the Lyapunov-Krasovskii functional approach combined with the S-procedure, sufficient conditions for the existence of admissible filters are established in terms of linear matrix inequalities (LMIs), which ensure the asymptotical mean-square stability as well as a prescribed H infinity performance. Finally, numerical examples are given to demonstrate the effectiveness and less conservatism of the proposed approach. (C) 2014 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：3069 / 3097

页数：29

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