Non-fragile passive controller design for nonlinear Markovian jumping systems via observer-based controls

被引：44
|
作者：
He, Shuping [1 ]
机构：
[1] Anhui Univ, Sch Elect Engn & Automat, Hefei 230601, Peoples R China
来源：
NEUROCOMPUTING | 2015年 / 147卷
基金：
中国国家自然科学基金;
关键词：
Markovian jumping systems; Passive control; Non-fragile state observer; Takagi-Sugeno fuzzy models; Linear matrix inequalities (LMIs); H-INFINITY CONTROL; STABILITY ANALYSIS; PREMISE VARIABLES; NEURAL-NETWORKS; FUZZY-SYSTEMS; UNCERTAIN; ROBUST; STATE;
D O I：
10.1016/j.neucom.2014.06.053
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper deals with the problem of non-fragile observer-based passive control for a class of Markovian jumping systems (MJSs) subjected to uncertainties, nonlinearities and time-delays. Based on the Takagi sugeno fuzzy models, the dynamics of mode-dependent non-fragile state observer and feedback controller system and the combined closed-loop fuzzy dynamic MJSs are constructed. A sufficient condition for passivity and stochastic stability of the combined system is derived and proved by means of the Lyapunov-Krasovskii functional methods and linear matrix inequalities (LMIs) techniques. The non-fragile passive controller and observer parameters can be solved directly by using the existing LMIs optimization techniques. Finally, a numerical simulation is given to illustrate the performance of the proposed approach. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码：350 / 357
页数：8
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