| GLOBAL EXPONENTIAL STABILITY OF HOPFIELD NEURAL NETWORKS WITH VARIABLE DELAYS AND IMPULSIVE EFFECTS |
| |
| 作者姓名： | 杨志春 徐道义 |
| |
| 作者单位： | Mathematics College Chongqing Normal University，Chongqing 400047，P. R. China Yangtze Center of Mathematics，Sichuan University，Chengdu 610064，P. R. China，Yangtze Center of Mathematics，Sichuan University，Chengdu 610064，P. R. China |
| |
| 摘 要： | A class of Hopfield neural network with time-varying delays and impulsive effects is concerned. By applying the piecewise continuous vector Lyapunov function some sufficient conditions were obtained to ensure the global exponential stability of impulsive delay neural networks. An example and its simulation are given to illustrate the effectiveness of the results.
|
| 关 键 词： | 神经系统网络 冲量 延迟 稳定性 |
| 收稿时间： | 2004-10-30 |
| 修稿时间： | 2006-07-26 |
Global exponential stability of Hopfield neural networks with variable delays and impulsive effects |
| |
| Zhi-chun Yang,Dao-yi Xu.GLOBAL EXPONENTIAL STABILITY OF HOPFIELD NEURAL NETWORKS WITH VARIABLE DELAYS AND IMPULSIVE EFFECTS[J].Applied Mathematics and Mechanics(English Edition),2006,27(11):1517-1522. |
| |
| Authors: | Zhi-chun Yang Dao-yi Xu |
| |
| Institution: | 1. Mathematics College, Chongqing Normal University, Chongqing 400047, P. R. China;Yangtze Center of Mathematics, Sichuan University, Chengdu 610064, P. R. China
2. Yangtze Center of Mathematics, Sichuan University, Chengdu 610064, P. R. China |
| |
| Abstract: | A class of Hopfield neural network with time-varying delays and impulsive effects is concerned. By applying the piecewise continuous vector Lyapunov function some sufficient conditions were obtained to ensure the global exponential stability of impulsive delay neural networks. An example and its simulation are given to illustrate the effectiveness of the results. |
| |
| Keywords: | neural networks impulse delay stability |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
| 点击此处可从《应用数学和力学(英文版)》浏览原始摘要信息 |
| 点击此处可从《应用数学和力学(英文版)》下载免费的PDF全文 |
