...
首页> 外文期刊>Neural processing letters >Robust Exponential Stabilization for Switched Neutral Neural Networks with Mixed Time-Varying Delays
【24h】

Robust Exponential Stabilization for Switched Neutral Neural Networks with Mixed Time-Varying Delays

机译:具有混合时变延迟的切换中性神经网络的强大指数稳定

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This paper studies the problems of exponential stabilization for a class of uncertain switched neutral neural networks with mixed time-varying delays. Based on the multiple Lyapunov-like functional method and the average dwell time method, the sufficient conditions which guarantee exponential stabilization of the uncertain switched neutral neural networks with mixed time-varying delays are presented. Averaged well time of switching signals is also given. Moreover, a design scheme for the stabilizing feedback controllers is proposed to guarantee exponential stability of corresponding closed-loop systems. Finally, two examples are given to illustrate the applicability and the effectiveness of the proposed method.
机译:本文研究了一类具有混合时变延迟的一类不确定切换中性神经网络的指数稳定性问题。基于多个Lyapunov样功能方法和平均停留时间方法,提出了保证具有混合时变延迟的不确定开关中性神经网络的指数稳定的充分条件。还给出了平均切换信号的井时间。此外,提出了一种用于稳定反馈控制器的设计方案,以保证相应的闭环系统的指数稳定性。最后,给出了两个示例来说明所提出的方法的适用性和有效性。

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