Exponentially Stable Conditions of a Class of Impulsive Cellular Neural Networks With Time Delays

摘要：

In this paper, a class of impulsive cellular neural networks with time delays is investigated. By constructing appropriate Lyapunov functional, two new exponentially stable conditions are obtained. These conditions are only related to impulsive function and some partial matrix elements of the interconnection matrix. A numerical example is presented to show the validity of our results.

关键词： exponential stability time delays impulsive effects

作者: Zixin Liu Shu LU Shouming Zhong

作者单位: School of Applied Mathematics, University of Electronic Science and Technology of China;School of Ma School of Applied Mathematics, University of Electronic Science and Technology of China

会议类型: 国际会议

会议名称: The 1st International ELID-Grinding Conference(第一届镜面磨削技术国际会议)

会议地点: 长沙

会议语种:英文

页码: 893-896

在线出版日期: 2008-06-12（万方平台首次上网日期，不代表论文的发表时间）