Global Asymptotic Stability of Recurrent Neiural Networks with Time-Varying Delays

摘要

This paper investigates the existence of equilibrium point and its global asymptotic stability for recurrent neural networks with time-varying delays. Various sufficient conditions ensuring the existence of equilibrium point and its global asymptotic stability are given. The results obtained in this paper extend and generalize those given in previous literature.