首页> 外文期刊>Mathematical Problems in Engineering >Stability Analysis for Discrete-Time Stochastic Fuzzy Neural Networks with Mixed Delays
【24h】

Stability Analysis for Discrete-Time Stochastic Fuzzy Neural Networks with Mixed Delays

机译:混合时滞离散随机模糊神经网络的稳定性分析

获取原文
获取原文并翻译 | 示例
           

摘要

This paper is concerned with the stability problem of a class of discrete-time stochastic fuzzy neural networks with mixed delays. New Lyapunov-Krasovskii functions are proposed and free weight matrices are introduced. The novel sufficient conditions for the stability of discrete-time stochastic fuzzy neural networks with mixed delays are established in terms of linear matrix inequalities (LMIs). Finally, numerical examples are given to illustrate the effectiveness and benefits of the proposed method.
机译:本文涉及一类具有混合时滞的离散时间随机模糊神经网络的稳定性问题。提出了新的Lyapunov-Krasovskii函数,并引入了自由权矩阵。根据线性矩阵不等式(LMI),建立了具有混合时滞的离散随机模糊神经网络的稳定性的新颖的充分条件。最后,通过算例说明了该方法的有效性和优越性。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2019年第4期|8529053.1-8529053.13|共13页
  • 作者

    Li YaJun; Zhu Quanxin;

  • 作者单位

    Shunde Polytech, Dept Elect & Informat Engn, Foshan 528300, Peoples R China;

    Hunan Normal Univ, Sch Math & Stat, MOE LCSM, Changsha 410081, Hunan, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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