一类具有混合变时滞的脉冲Cohen-Grossberg神经网络的完全同步(英文)

陈红杰; 蒋海军

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一类具有混合变时滞的脉冲Cohen-Grossberg神经网络的完全同步(英文)

数理科学 | 更新时间：2026-01-21

- 一类具有混合变时滞的脉冲Cohen-Grossberg神经网络的完全同步(英文)
- 一类具有混合变时滞的脉冲Cohen-Grossberg神经网络的完全同步(英文)
- 新疆大学学报（自然科学版中英文） 2012年29卷第1期页码：32-37
- 作者机构：
  
  新疆大学数学与系统科学学院
- 作者简介：
- 基金信息：
  
  supported by the National Natural Science Foundation of P.R.China(60764003);the Natural Science Founda-tion of Xinjiang(2010211A07);the Scientific Research Programmes of Colleges in Xinjiang(XJEDU2007G01)
- DOI：
  中图分类号： O231
- 纸质出版：2012
- 稿件说明：
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[1]陈红杰,蒋海军.一类具有混合变时滞的脉冲Cohen-Grossberg神经网络的完全同步(英文)[J].新疆大学学报(自然科学版),2012,29(01):32-37.

陈红杰, 蒋海军. 一类具有混合变时滞的脉冲Cohen-Grossberg神经网络的完全同步(英文)[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2012, 29(1): 32-37.
[1]陈红杰,蒋海军.一类具有混合变时滞的脉冲Cohen-Grossberg神经网络的完全同步(英文)[J].新疆大学学报(自然科学版),2012,29(01):32-37. DOI：

陈红杰, 蒋海军. 一类具有混合变时滞的脉冲Cohen-Grossberg神经网络的完全同步(英文)[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2012, 29(1): 32-37. DOI：

摘要

研究了一类具有混合变时滞的脉冲Cohen-Grossberg神经网络的完全同步.通过使用Lyapunov泛函的方法和脉冲时滞微分不等式技巧

得到了确保全局指数同步的充分条件.本文获得结果与现有文献中的结果相比更具有一般性.最后

通过一个数值例子说明所提出的方法和所得结果的有效性.

Abstract

This letter studies the problem of complete synchronization of Cohen-Grossberg neural networks with mixed time-varying delays and impulsive effects.By using the Lyapunov stability theory and the impulsive delay differential inequality technique

some sufficient conditions are derived to ensure the complete synchronization of the addressed systems.The results obtained in this paper are more general than that of the existing references.Finally

an illustration example is provided to show the effectiveness and feasibility of the proposed method and results.

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Keywords

references

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