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

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 ˆ ’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.