文献类型：期刊文献

英文题名：Robust fuzzy design for nonlinear uncertain stochastic systems via sliding-mode control

作者：Ho, Daniel W.C.[1]; Niu, Yugang[2]

机构：[1]City Univ Hong Kong, Dept Math, Kowloon, Hong Kong, Peoples R China;[2]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

年份：2007

卷号：15

期号：3

起止页码：350

外文期刊名：IEEE TRANSACTIONS ON FUZZY SYSTEMS

收录：;EI(收录号：20072610681375);WOS:【SCI-EXPANDED(收录号:WOS:000247285300003)】；

语种：英文

外文关键词：fuzzy control; nonlinear uncertainties; sliding-mode control (SMC); stochastic systems

摘要：This paper deals with the sliding-mode control (SMC) problem for nonlinear stochastic time-delay systems by means of fuzzy approach. The Takagi-Sugeno (T-S) fuzzy stochastic time-delay model with parametric uncertainties and unknown nonlinearies is, presented. A sufficient condition for the exponential stability in mean square of the sliding motion is also derived. Moreover, it is shown that when the linear matrix inequalities (LMIs) with equality constraint are feasible, the designs of both sliding surface and sliding-mode controller can be easily obtained via convex optimization. A simulation example illustrating the proposed method is given.