篇名 | H Fuzzy Control Design for Nonlinear Stochastic Fuzzy Systems |
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卷期 | 9:1 |
作者 | Chung-Shi Tseng 、 Yen-Fang Li 、 Yi-Fan Chiang |
頁次 | 038-044 |
關鍵字 | Output feedback 、 H fuzzy control 、 T-S fuzzy model 、 nonlinear stochastic systems 、 Itoˆ − type stochastic differential equations 、 second-order nonlinear Hamilton-Jacobi inequality 、 LMIs 、 EI 、 SCI 、 SCIE 、 Scopus |
出刊日期 | 200703 |
This paper describes the robust output feedback ∞H fuzzy control design for a class of nonlinear stochastic systems. The system dynamic is modelled by Itoˆ −type stochastic differential equations. For general nonlinear stochastic systems, the ∞H ontrol can be obtained by solving a second-order nonlinear Hamilton-Jacobi inequality. In general, it is difficult to solve the second-order nonlinear Hamilton-Jacobi inequality. In this paper, using fuzzy approach (T-S fuzzy model), the ∞H fuzzy control design for the nonlinear stochastic systems can be given via solving linear matrix inequalities (LMIs) instead of a second-order Hamilton-Jacobi inequality. Simulation example is provided to illustrate the design procedure and expected performance.