A new criterion on exponential stability of a class of discrete cellular neural networks with time delay

Abstract

A new criterion on exponential stability of the equilibrium point for a class of discrete cellular neural networks (CNNs) with delay is established by Lyapunov-Krasovskii function methods. The obtained result shows a relation between the delayed time and the corresponding parameters of the network. A numerical example is given to illustrate the efficiency of the proposed approach. © Springer-Verlag Berlin Heidelberg 2005.