Exponential p-Stability for a Delayed Recurrent Neural Networks with Impulses

Abstract

This paper considers the problem of global exponential p-stability for a delayed recurrent neural networks with fixed moments of impulsive effect. Some novel criteria are obtained to ensure the exponential p-stability of equilibrium point for these networks by using M-matrix theory and inequality techniques. In addition, these criteria are in term of M-matrix with an adjustable parameter p, which extend and unify some previously known results in the literature