Global exponential stability of Hopfield neural networks with impulsive effects

Abstract

A class of Hopfield neural network model involving variable delays and impulsive effects is considered. By applying idea of piecewise continuous vector Lyapunov function, the sufficient conditions ensuring the global exponential stability of impulsive delay neural networks are obtained. The results extend and improve some recent work. © Springer-Verlag Berlin Heidelberg 2005.