首页> 外文会议>International Conference on Intelligent Control and Information Processing >Stability Analysis for a class of delayed neural networks with nonlinear homogeneous activation functions
【24h】

Stability Analysis for a class of delayed neural networks with nonlinear homogeneous activation functions

机译:一类具有非线性齐次激活函数的时滞神经网络的稳定性分析

获取原文

摘要

The problem of asymptotic stability analysis is investigated about a class of delayed neural networks with homogeneous right-hands sides. Under the assumption that the trivial solution of delay free system is asymptotically stable and the activation functions are homogeneous, it is proved that the zero solution of delayed neural network is asymptotically stable for arbitrary nonnegative delay. By constructing a Lyapunov function and employing the nature of homogenous function, a new delay-independent asymptotically stability condition of the neural network with delay is obtained. At the end of the article, an appropriate numerical example which can demonstrate the effectiveness of the main result will be given.
机译:研究了一类右手均质的时滞神经网络的渐近稳定性分析问题。在无延迟系统的平凡解是渐近稳定且激活函数是齐次的假设下,证明了对于任意非负时滞,延迟神经网络的零解是渐近稳定的。通过构造李雅普诺夫函数并利用齐次函数的性质,获得了具有时滞的神经网络的新的与时滞无关的渐近稳定条件。在文章的结尾,将给出一个适当的数值示例,以证明主要结果的有效性。

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