state-feedback control for continuous-time Markovian jump fuzzy systems using a fuzzy weighting-dependent Lyapunov function

被引：0
|
作者：
Kwon, Nam Kyu [1 ]
Park, In Seok [1 ]
Park, PooGyeon [1 ]
机构：
[1] Pohang Univ Sci & Technol, Elect Engn Div, Pohang 790784, Gyungbuk, South Korea
来源：
NONLINEAR DYNAMICS | 2017年 / 90卷 / 03期
基金：
新加坡国家研究基金会;
关键词：
Markovian jump fuzzy systems; Relaxation technique; Fuzzy weighting-dependent Lyapunov function; Partly unknown transition rates; H-INFINITY CONTROL; CONTROL DESIGN; STABILIZATION CONDITIONS; ROBUST STABILIZATION; STABILITY; OBSERVER;
D O I：
10.1007/s11071-017-3776-7
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
This paper proposes a method for designing an state-feedback fuzzy controller for continuous-time Markovian jump fuzzy systems (MJFSs) with partly unknown transition rates. To find control for level , the stabilization conditions are first formulated in terms of parameterized linear matrix inequalities (PLMIs) for the MJFSs based on a fuzzy weighting-dependent Lyapunov function. Besides, to derive less conservative stabilization conditions, all possible slack variables are incorporated into the relaxation process with fully considering the property of the fuzzy weights. Finally, three examples are provided to verify the effectiveness of the proposed method.
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页码：2001 / 2011
页数：11
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