ppth moment exponential stability of stochastic recurrent neural networks with time-varying delays

In this paper, the issue of ppth moment exponential stability of stochastic recurrent neural network with time-varying delays is investigated in detail. Employing the method of variation parameter and inequality techniques, several sufficient conditions ensuring ppth moment exponential stability are obtained. Compared with the previous methods, our method does not resort to any Lyapunov function, and the results derived in this paper improve and generalize some earlier works reported in the literature. Two numerical examples are given to illustrate the effectiveness of our results.