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It is well known that a complex nonlinear system can be represented as a Takagi-Sugeno(T-S) Fuzzy model that consists of a set of linear sub-models. This letter is concerned with the global asymptotical stability analysis problem for stochastic fuzzy Hopfield neural networks with successive time delay components. By using the stochastic analysis approach, stability criterion is derived in terms of...
This paper presents the method of discrete-time sliding mode control (DT-SMC) for a class of nonlinear time-delay systems via Takagi-Sugeno (T-S) fuzzy model. First, the discrete-time linear model with uncertainties and tine-varying delay is derived by employing T-S model to represent original system. Then the control problem becomes the robust stabilization controller design for linear uncertain...
A guaranteed cost control method for nonlinear systems with time-delay is introduced in this paper, which can be represented by Takagi-Sugeno (T-S) fuzzy models with time-delays. The state feedback approach is considered. By introducing a new Lyapunov-Krasovskii functional with adjustable parameters, and based on delay-dependent stability analysis, some sufficient conditions for the existence of state...
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