Exponential Stability Analysis of Delayed Cellular Neural Networks Based on LMI

摘要：

In this paper, the problem of exponential stability for a class of delayed cellular neural networks is studied. Using Lyapunov Krasovskii function, the delay-dependent stability condition for the global exponential stability of the system is given, and the result is obtained in terms of linear matrix inequalities. The delay upper bound to ensure system stability is easily solved, and the system has delay-independent exponential stability and globally asymptotic stability. A numerical example shows advantages of this result.

作者: Luping Wang

作者单位: Mathematics and Information science College Shandong Institute of Business and Technology Yantai 264005,China

会议类型: 国际会议

会议名称: 第三届国际脉冲动力系统及应用学术会议

会议地点: 青岛

会议语种:英文

在线出版日期: 2006-07-21（万方平台首次上网日期，不代表论文的发表时间）