Robust H ∞ Control for T-S Fuzzy DOSs with Time Delays
Fuzzy technique has been widely and successfully used in nonlinear system modeling and control for more than two decades. T-S fuzzy model was introduced in . The T-S fuzzy system has emerged as one of active and fruitful areas of fuzzy control in recent years, see for example [44, 47, 148, 210, 216] and the references therein. Fuzzy automata and syntactic analysis approach have been used for fault diagnosis . Two different methods on simulate fuzzy random variables have been presented in . Fuzzy H ∞ control has been investigated in [76, 152, 179]. By using a fuzzy linear model, an MIMO adaptive sliding mode controller has been proposed in systems . Fuzzy filter has been established by using Lyapuonv function approach in [181, 297]. A stabilization problem for T-S fuzzy systems with nonuniform uncertain sampling was investigated in . By a fuzzy output feedback controller, a stabilizing problem of nonlinear systems has been addressed in . Stabilization analysis for a T-S discrete fuzzy model has been presented based on a non-PDC control law . Using a non-PDC control law, an extensive result has been presented for T-S discrete fuzzy systems in .
KeywordsState Feedback Controller Fuzzy Random Variable Model Reference Adaptive Control Delta Operator Large Time Delay
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