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脉冲多比例时滞细胞神经网络全局指数稳定性准则
引用本文:王小伟,胡霁芳,肖玉柱,宋学力.脉冲多比例时滞细胞神经网络全局指数稳定性准则[J].安徽师范大学学报(自然科学版),2017,40(4).
作者姓名:王小伟  胡霁芳  肖玉柱  宋学力
作者单位:长安大学理学院,陕西西安,710064;长安大学理学院,陕西西安,710064;长安大学理学院,陕西西安,710064;长安大学理学院,陕西西安,710064
基金项目:The Youth Science and Technology Nova Program of Shanxi Province;The Special Fund for Basic Scientific Research of Central Colleges in Chang'an University
摘    要:本文主要研究脉冲多比例时滞细胞神经网络的全局指数稳定性.通过Lyapunov函数以及Young不等式,并基于n维实向量空间中的lc-范数,我们得到细胞神经网络全局指数稳定的充分条件,最后我们用一个例子以及它的仿真来证明我们方法的有效性.

关 键 词:全局指数稳定  细胞神经网络  多比例时滞  Lyapunov函数  Young不等式  lc-范数

A Criterion for Global Exponential Stability of CNNs with Impulses and Multi-proportional Delays
WANG Xiao-wei,HU Ji-fang,XIAO Yu-zhu,SONG Xue-li.A Criterion for Global Exponential Stability of CNNs with Impulses and Multi-proportional Delays[J].Journal of Anhui Normal University(Natural Science Edition),2017,40(4).
Authors:WANG Xiao-wei  HU Ji-fang  XIAO Yu-zhu  SONG Xue-li
Abstract:This paper investigates global exponential stability of impulsive and multi-proportional delayed cellular neural networks.By means of Lyapunov function and Young inequality,we provide a sufficient condition to the global exponential stability of CNNs,which is based on lc-norm of n-dimensional real vector space Rn.Finally,an example with its simulation is presented to illustrate that our method is effective.
Keywords:global exponential stability  cellular neural networks  multi-proportional delays  Lyapunov function  Young inequality  lc-norm
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