Pth Moment Exponential Stability of Impulsive Stochastic NeuralNetworks with Mixed Delays

Abstract EN

This paper investigates the problem of pth moment exponential stability for a class of stochastic neural networks with time-varying delays and distributed delays under nonlinear impulsive perturbations.

By means of Lyapunov functionals, stochastic analysis and differential inequality technique, criteria on pth moment exponential stability ofthis model are derived.

The results of this paper are completely new and complementand improve some of the previously known results (Stamova and Ilarionov (2010), Zhang et al.

(2005), Li (2010), Ahmed and Stamova (2008), Huang et al.

(2008), Huang et al.

(2008), and Stamova (2009)).

An example is employed to illustrate our feasible results.