Estimation of attraction domain and exponential convergence rate for high order Hopfield type neural networks
Xu Bingji①; Zhou Lun①; Liao Xiaoxin①; Liu Xinzhi①②
①Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. and Tech., Wuhan 430074 China;②Dept. of Applied Mathematics University of Waterloo Waterloo Canada
Abstract:In this paper, the locally exponential stability of equilibrium point for a class of high order Hopfield type neural networks is studied by means of Lyapunov function. Some results about estimation of the attraction domain and exponential convergence rate of the network trajectories to equilibrium point of such networks are obtained.