ON GLOBAL ASYMPTOTIC STABILITY OF A CLASS OF NEURAL NETWORKS WITH TIME DELAYS

摘要：

In this paper, a class of Hopfield neural networks with distributed time delays is investigated. Based on globally Lipschitz continuous activation function and M-matrix theory,a proper Lyapunov function is constructed and employed to present a sufficient condition for the uniqueness and global asymptotic stability of the equilibrium point, and the result is independent of the delay parameter.

关键词： Delayed neural networks global asymptotic stability M-matrix

作者: JIN-LIANG SHAO TING-ZHU HUANG

作者单位: School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 4120-4123

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）