首页> 外文会议>International Conference on Frontiers of Manufacturing Science and Measuring Technology >New passivity criteria for discrete-time neural networks with leakage and time-varying delays
【24h】

New passivity criteria for discrete-time neural networks with leakage and time-varying delays

机译:具有泄漏和时变延迟的离散时间神经网络的新的被动标准

获取原文

摘要

In this paper, the problem of passivity of discrete-time neural networks with leakage and time-varying delays is investigated. By constructing a novel Lyapunov-Krasovskii functional and reciprocally convex method, some sufficient passivity conditions are obtained in the forms of linear matrix inequalities. In order to illustrate the effectiveness of the proposed results, a numerical example is presented.
机译:在本文中,研究了具有泄漏和时变延迟的离散时间神经网络的钝化问题。通过构建新颖的Lyapunov-Krasovskii功能和相互凸起的方法,以线性矩阵不等式的形式获得了一些足够的无线电条件。为了说明所提出的结果的有效性,提出了数值示例。

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