An Improved Input Delay Approach to Stabilization of Fuzzy Systems Under Variable Sampling

被引：189

作者：

Zhu, Xun-Lin ^{[2
,3
]}

Chen, Bing ^{[4
]}

Yue, Dong ^{[1
,2
]}

Wang, Youyi ^{[5
]}

机构：

[1] Huazhong Univ Sci & Technol, Key Lab, Minist Educ Image Proc & Intelligent Control, Wuhan 430074, Peoples R China

[2] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China

[3] Zhengzhou Univ, Dept Math, Zhengzhou 450001, Peoples R China

[4] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Peoples R China

[5] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2012年 / 20卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Fuzzy control; input delay approach; linear matrix inequalities (LMIs); sampled-data control; Takagi-Sugeno (T-S) fuzzy systems; H-INFINITY CONTROL; NETWORKED CONTROL-SYSTEMS; SLIDING-MODE-CONTROL; TIME-VARYING DELAY; NONLINEAR-SYSTEMS; STABILITY ANALYSIS; ROBUST STABILITY; LMI; CONTROLLER; OBSERVERS;

D O I：

10.1109/TFUZZ.2011.2174242

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we investigate the problem of stabilization for sampled-data fuzzy systems under variable sampling. A novel Lyapunov-Krasovskii functional (LKF) is defined to capture the characteristic of sampled-data systems, and an improved input delay approach is proposed. By the use of an appropriate enlargement scheme, new stability and stabilization criteria are obtained in terms of linear matrix inequalities (LMIs). Compared with the existing results, the newly obtained ones contain less conservatism. Some illustrative examples are given to show the effectiveness of the proposed method and the significant improvement on the existing results.

引用

页码：330 / 341

页数：12

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