Controlling uncertain fuzzy neutral dynamic systems with Markov jumps

被引:9
作者
He, Shuping [1 ,2 ]
Liu, Fei [1 ,2 ]
机构
[1] Jiangnan Univ, Inst Automat, Wuxi 214122, Peoples R China
[2] Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China
基金
中国国家自然科学基金;
关键词
neutral Markov jump system (M[!text type='JS']JS[!/text]); Takagi-Sugeno fuzzy model; time-delay; uncertainty; linear matrix inequality (LMI); STABILITY ANALYSIS; STABILIZATION;
D O I
10.3969/j.issn.1004-4132.2010.03.019
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The robust H-infinity control problems for stochastic fuzzy neutral Markov jump systems (MJSs) with parameters uncertainties and multiple time-delays are considered. The delays are respectively considered as constant and time varying, and the uncertain parameters are assumed to be norm bounded. By means of Takagi-Sugeno fuzzy models, the overall closed-loop fuzzy dynamics are constructed through selected membership functions. By selecting the appropriate Lyapunov-Krasovskii functions, the sufficient condition is given such that the uncertain fuzzy neutral MJSs are stochastically stability for all admissible uncertainties and satisfies the given H-infinity control index. The stability and H-infinity control criteria are formulated in the form of linear matrix inequalities, which can be easily checked in practice. Practical examples illustrate the effectiveness of the developed techniques.
引用
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页码:476 / 484
页数:9
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