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.