Stability of nonautonomous recurrent neural networks with time-varying delays

Abstract

The paper studies the nonautonomous delayed recurrent neural networks. By applying Lyapunov functional method and utilizing the technique of inequality analysis, we obtain the sufficient condition to ensure the globally asymptotic stability and globally exponential stability. The results given in this paper are new and useful. © Springer-Verlag Berlin Heidelberg 2005.