首页> 外文期刊>Neural computing & applications >Robust synchronization analysis for static delayed neural networks with nonlinear hybrid coupling
【24h】

Robust synchronization analysis for static delayed neural networks with nonlinear hybrid coupling

机译:具有非线性混合耦合的静态时滞神经网络的鲁棒同步分析

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, the robust synchronization for static neural networks with nonlinear coupling and time-varying delay is studied. By constructing the appropriate augmented Lyapunov-Krasovskii functional, utilizing the theory of Kronecker product and the linear matrix inequality technique, we obtain the delay-dependent synchronization conditions which ensure the nonlinear coupled static neural networks with uncertainties in coupling matrices terms robust synchronization. The robust synchronization problem for the nonlinear hybrid coupled static delayed neural networks is first time investigated in this paper. At last, numerical example is provided to illustrate the effectiveness of the proposed results.
机译:本文研究了具有非线性耦合和时变时滞的静态神经网络的鲁棒同步。通过使用Kronecker乘积理论和线性矩阵不等式技术构造适当的增强Lyapunov-Krasovskii泛函,我们获得了依赖于延迟的同步条件,该条件确保了非线性耦合静态神经网络在耦合矩阵项鲁棒同步方面具有不确定性。本文首次研究了非线性混合静态时滞神经网络的鲁棒同步问题。最后,通过数值算例说明了所提出结果的有效性。

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