首页> 外文会议>Dependable, Autonomic and Secure Computing, 2009. DASC '09 >Delay-Dependent Robust Global Asymptotic Stability for Stochastic Neural Networks with Discrete-Delay and Unbounded Distributed Delays
【24h】

Delay-Dependent Robust Global Asymptotic Stability for Stochastic Neural Networks with Discrete-Delay and Unbounded Distributed Delays

机译:具有离散延迟和无界分布时滞的随机神经网络的时滞相关鲁棒全局渐近稳定性

获取原文

摘要

In this paper deal with the problem of asymptotic stability for a class of uncertain stochastic neural networks with discrete-time and unbounded distributed delays. The sufficient conditions to guarantee the robust global asymptotic stability in mean square of an equilibrium solution are given. One example is also given to demonstrate our results.
机译:本文研究了一类具有离散时间和无界分布时滞的不确定随机神经网络的渐近稳定性问题。给出了保证平衡解均方值的鲁棒全局渐近稳定性的充分条件。还给出了一个例子来证明我们的结果。

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