STABILITY FOR IMPULSIVE NEURAL NETWORKS WITH TIME DELAYS BY RAZUMIKHIN METHOD

摘要：

In this article, a generalized model of neural networks involving time-varying delays and impulses is considered. By using Razumikhin method and Lyapunov functions analysis technique, a sufficient condition for ensuring uniform stability of these networks is derived. A numerical example is worked out to illustrate the obtained result.

关键词： Razumikhin method Lyapunov function Impulsive neural networks Stability

作者: WEN-PIN LUO SHOU-MING ZHONG JUN YANG

作者单位: School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, PR 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: 4149-4154

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）