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This paper deals with the stability analysis and the stabilization control law for a class of discrete Takagi-Sugeno (T-S) fuzzy systems with both state and input delays. Based on the nonquadratic Lyapunov function constructed here, the stability analysis and the design way of stabilization control law are derived in the form of linear matrix inequality (LMI) via a nonparallel distributed compensation...
This paper deals with the optimal guaranteed cost control of a class of Takagi-Sugeno (T-S) fuzzy systems via the piecewise fuzzy Lyapunov function (PFLF) approach. The PFLF is proposed by utilizing the structure information of the rule premise. Based on this approach, an optimal guaranteed control law for stabilization of the closed-loop fuzzy systems is derived in the form of linear matrix inequality...
This paper deals with the stability analysis and stabilization of a class of Takagi-Sugeno (T-S) fuzzy systems via piecewise fuzzy Lyapunov function approach. The piecewise fuzzy Lyapunov function is proposed by utilizing the structure information of the rule premise. Based on this function approach, sufficient conditions for stabilization of both open-loop fuzzy systems and closed-loop fuzzy systems...
This paper adopts the fuzzy Lyapunov stability theory into the analysis and design of a class of Takagi-Sugeno fuzzy systems with parametric uncertainties. The problem of designing a guaranteed cost controller is studied by formulating the fuzzy Lyapunov function of the fuzzy system, the sufficient conditions are derived by using the parallel distributed compensation (PDC) strategy. The simulation...
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