Delay-independent stability analysis of Cohen-Grossberg neural networks

In this Letter, we discuss a class of Cohen-Grossberg neural networks with time delays and investigate their global asymptotic stability of the equilibrium point for this systems. By introducing a new type of Lyapunov functionals, a set of sufficient conditions guaranteeing the global asymptotic convergence are derived. Our criteria represent an extension of the existing results in literatures. Combined with the linear matrix inequality technique, a new generalized, LMI based, criterion is obtained. The presented result: is more easily to verified and turns out to be less restrictive than those given in the earlier literature. (C) 2003 Elsevier B.V. All rights reserved.