具有变时滞的脉冲细胞神经网络的指数稳定性（英文）

余在正; 蒋海军; 胡成

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具有变时滞的脉冲细胞神经网络的指数稳定性（英文）

数理科学 | 更新时间：2026-01-21

- 具有变时滞的脉冲细胞神经网络的指数稳定性（英文）
- 具有变时滞的脉冲细胞神经网络的指数稳定性（英文）
- 新疆大学学报（自然科学版中英文） 2014年31卷第4期页码：404-410
- 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 Natural Science Foundation of Xinjiang(2010211A07);the National Natural Science Foundation of People’s Republic of China(10961022,10901130,61164004);the Excellent Doctor Innovation Program of Xinjiang University(XJUBSCX-2010003)
- DOI：
  中图分类号： O157.5;TP183
- 纸质出版：2014
- 稿件说明：
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[1]余在正,蒋海军,胡成.具有变时滞的脉冲细胞神经网络的指数稳定性（英文）[J].新疆大学学报(自然科学版),2014,31(04):404-410.

余在正, 蒋海军, 胡成. 具有变时滞的脉冲细胞神经网络的指数稳定性（英文）[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2014, 31(4): 404-410.
[1]余在正,蒋海军,胡成.具有变时滞的脉冲细胞神经网络的指数稳定性（英文）[J].新疆大学学报(自然科学版),2014,31(04):404-410. DOI：

余在正, 蒋海军, 胡成. 具有变时滞的脉冲细胞神经网络的指数稳定性（英文）[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2014, 31(4): 404-410. DOI：

摘要

研究了带有脉冲影响的变时滞细胞神经网络的指数稳定性

利用李雅普诺夫函数和Young不等式

得到了神经网络指数稳定的充分条件.最后给出数值实例来验证理论结果的正确性和有效性.

Abstract

In this paper

the problem of exponential stability is investigated for cellular neural networks with timevarying delays and impulsive effect. By using the Lyapunov functional method and applying Young inequality

some sufficient conditions are derived to ensure the exponential stability of the neural networks. An example is given to show the effectiveness of the presented criteria.

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Keywords

references

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