Mean square exponential stability of impulsive stochastic fuzzy cellular neural networks with distributed delays

Research highlights? Impulsive stochastic fuzzy neural networks are investigated. ? Sufficient conditions for mean square exponential stability of this model are obtained. ? Ito's formula and Lyapunov functional are employed to obtain the results. The mean square exponential stability of a class of impulsive stochastic fuzzy cellular neural networks with distributed delays is investigated in this paper. By using analytic methods such as Lyapunov functional, It o ? 's formula, inequality techniques, the sufficient conditions guaranteeing the mean square exponential stability of its equilibrium solution are obtained. For illustration, an example is given to show the feasibility of results.

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