GLOBAL EXPONENTIAL STABILITY CRITERIA FOR IMPULSIVE CELLULAR NEURAL NETWORKS WITH TIME – VARYING DELAYS

Abstract

In this paper, we study the model of impulsive cellular neural networks with time – varying delays, which is an extension of the model in [1], [2]. Based on the construction of the Lyapunov function and the use of some analytical techniques such as the properties of continuous functions on a segment, the properties of , and... we will build new global exponential stability criteria for the  equilibrium point of the networks mentioned above. In addition, we also take example to illustrate the results achieved.