Global Exponential Convergence Analysis of Hopfield Neural Networks with Continuously Distributed Delays
Zhang Qiang, Runnian Ma, Jin Xu · Communications in Theoretical Physics · 2003
A model of Hopfield neural networks with continuously distributed delays is considered. A new sufficient condition which guarantees global exponential stability of an equilibrium point is given based on Lyapunov functional approach and inequality technique. Compared with the previous results, our result provides a wider range since it possesses many adjustable parameters.