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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 deals with a class of T-S fuzzy stochastic neural networks with uncertainty and time varying delays. A sufficient condition on passivity is developed in the LMI setting. A numerical example is provided to demonstrate the effectiveness of the result.
This note is concerned with quadratic stabilization problem of continuous nonlinear control system given by Takagi-Sugeno(T-S) fuzzy models. It provides improved linear matrix inequality (LMI)-based conditions to compute a T-S state-feedback gain that makes closed-loop system quadratically stable. The proposed conditions are based on the philosophy of Polyapsilas theorem and on the systematic construction...
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