Filtering of Interval Type-2 Fuzzy Systems With Intermittent Measurements

被引：205

作者：

Li, Hongyi ^{[1
]}

Wu, Chengwei ^{[2
]}

Wu, Ligang ^{[3
]}

Lam, Hak-Keung ^{[4
]}

Gao, Yabin ^{[2
]}

机构：

[1] Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China

[2] Bohai Univ, Coll Informat Sci & Technol, Jinzhou 121013, Peoples R China

[3] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150001, Peoples R China

[4] Kings Coll London, Dept Informat, London WC2R 2LC, England

来源：

IEEE TRANSACTIONS ON CYBERNETICS | 2016年 / 46卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Data packet dropouts; filter design; interval type-2 (IT2) fuzzy systems; nonlinear networked system; NETWORKED CONTROL-SYSTEMS; STABILITY ANALYSIS; NONLINEAR-SYSTEMS; STABILIZATION; DELAYS; CONTROLLER; DESIGN;

D O I：

10.1109/TCYB.2015.2413134

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 fuzzy filter design is investigated for a class of nonlinear networked systems on the basis of the interval type-2 (IT2) fuzzy set theory. In the design process, two vital factors, intermittent data packet dropouts and quantization, are taken into consideration. The parameter uncertainties are handled effectively by the IT2 membership functions determined by lower and upper membership functions and relative weighting functions. A novel fuzzy filter is designed to guarantee the error system to be stochastically stable with H-infinity performance. Moreover, the filter does not need to share the same membership functions and number of fuzzy rules as those of the plant. Finally, illustrative examples are provided to illustrate the effectiveness of the method proposed in this paper.

引用

页码：668 / 678

页数：11

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