Finite-time dissipative control for singular T-S fuzzy Markovian jump systems under actuator saturation with partly unknown transition rates

被引：29

作者：

Guan, Wei ^{[1
,2
]}

Liu, Fucai ^{[1
]}

机构：

[1] Yanshan Univ, Coll Elect Engn, Qinhuangdao 066004, Hebei Province, Peoples R China

[2] Yanshan Univ, Coll Sci, Qinhuangdao 066004, Hebei Province, Peoples R China

来源：

NEUROCOMPUTING | 2016年 / 207卷

关键词：

Finite time; Dissipative control; Singular T-S fuzzy system; Markovian jump; Actuator saturation; Partly unknown transition rates; NEURAL-NETWORKS; DELAY; DESIGN; STABILIZATION; MODEL;

D O I：

10.1016/j.neucom.2016.04.042

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 consider the problem of the static output feedback control for singular T-S fuzzy Markovian jump system with considering the influence of actuator saturation and partly unknown transition probabilities. Sufficient conditions are obtained to guarantee that the closed-loop is not only finite time bounded but also dissipative. The controller gain and the estimation of the domain of attraction can be solved by solving the linear matrix inequalities based optimization problem. Finally, numerical examples are illustrated for the effectiveness of the proposed method. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：60 / 70

页数：11

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