Delay-Dependent Robust Stability of Stochastic T-S Fuzzy Systems with Fast Time-Varying Delay
This paper investigates the problem of robust stability for stochastic T-S fuzzy systems with fast time-varying delay. Different from the common assumptions on the delay in the published literatures, the probability distribution of the delay taking values in some intervals is assumed to be known in advance and there is no extra assumption on its derivative. By using a function of the stochastic variable satisfying Bernoulli random binary distribution, the common delayed T-S fuzzy systems are modeled as new type of stochastic T-S fuzzy systems. Then by using the Lyapunov-Krasovskii functional method, new criteria for the robust stability of the uncertain stochastic T-S fuzzy systems is derived, which is shown in terms of linear matrix inequality. At last, two numerical examples are given to illustrate the feasibility and effectiveness of the proposed method.
Engang Tian Dong Yue Yijun Zhang Fengming Liu
College of Information Science and Engineering Donghua University Shanghai, China, 201600 Institute of Information and Control Engineering Nanjing Normal University Nanjing, China, 210042
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）