Global exponential convergence analysis of delayed neural networks with time-varying delays

Some new sufficient conditions for the global exponential stability and estimations of bound on the rate of exponential convergence of the neural networks with time-varying delays are obtained by means of an approach based on delay differential inequality. The method, which does not make use of any Lyapunov functionals, is simple and valid for the stability analysis of neural networks with time-varying delays. Some previously established results in the literature are shown to be special cases of the presented results. [Copyright &y& Elsevier]