首页> 外文期刊>Neurocomputing >Synchronization of delayed coupled switched neural networks: Mode-dependent average impulsive interval
【24h】

Synchronization of delayed coupled switched neural networks: Mode-dependent average impulsive interval

机译:延迟耦合开关神经网络的同步:与模式有关的平均脉冲间隔

获取原文
获取原文并翻译 | 示例

摘要

This paper investigates the synchronization of coupled switched neural networks with leakage delay and time-varying delay. The desynchronizing impulses and synchronizing impulses are taken into account in the constructed systems, and they are not required to act simultaneously with the switching behaviors. Moreover, a new concept named mode-dependent average impulsive interval is introduced. Based on Lyapunov functional method involving mode-dependent average dwell time method, the relation of time-delay, impulsive gains, system modes, mode-dependent average impulsive interval and mode-dependent average dwell time is established. Exponential synchronization criteria are presented for delayed switched neural networks with desynchronizing impulses and synchronizing impulses, respectively. Numerical examples are given to illustrate the effectiveness and less conservativeness of the obtained results. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文研究了具有泄漏时滞和时变时滞的耦合开关神经网络的同步性。在构造的系统中考虑了去同步脉冲和同步脉冲,并且不需要它们与开关行为同时作用。此外,引入了一个新的概念,称为与模式有关的平均脉冲间隔。基于Lyapunov泛函方法,包括依赖于模式的平均停留时间方法,建立了时延,脉冲增益,系统模式,依赖于模式的平均脉冲间隔和依赖于模式的平均停留时间之间的关系。提出了分别具有去同步脉冲和同步脉冲的延迟切换神经网络的指数同步准则。数值例子说明了所得结果的有效性和保守性。 (C)2019 Elsevier B.V.保留所有权利。

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