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The global robust exponential stability in mean square for a class of stochastic neural networks with distributed delays and polytopic uncertainties is investigated in this paper. Parameter-dependent Lypaunov-Krasovskii functionals and free-weighting matrices are employed to obtain sufficient condition that guarantee the robust global exponential stability the considered stochastic neural networks...
This paper is concerned with the problem of delay-dependent exponential stability analysis for a class of stochastic Hopfield type neural networks with constant time delays. By employing an augmented Lyapunov-Krasovskii functional, together with the linear matrix inequality approach, a delay-dependent condition guaranteeing the global exponential stability (in the mean square sense) of the considered...
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