首页> 外文会议>Conference of Biomathematics >Exponentially Stable Conditions of a Class of Impulsive Cellular Neural Networks With Time Delays
【24h】

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

机译:一类具有时滞的脉冲细胞神经网络的指数稳定条件

获取原文

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 arc 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.
机译:本文研究了一类具有时滞的脉冲细胞神经网络。通过构造适当的Lyapunov函数,获得了两个新的指数稳定条件。这些条件仅与脉冲函数和互连矩阵的某些部分矩阵元素有关。数值例子表明了我们的结果的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号