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具有混合变时滞的脉冲Cohen-Grossberg神经网络的指数同步
  • ISSN号：1003-3998
  • 期刊名称：数学物理学报
  • 时间：2015.6.15
  • 页码：545-557
  • 分类：O29[理学—应用数学;理学—数学]
  • 作者机构：[1]新疆大学数学与系统科学学院,乌鲁木齐830046
  • 相关基金：国家自然科学基金（61164004）; 新疆维吾尔自治区研究生创新项目（XJGRI2014013）资助
  • 相关项目：复杂网络系统的有限时间同步控制研究
作者： 阿卜杜杰力力·阿卜杜热合曼|蒋海军|滕志东|
关键词： Cohen-Grossberg神经网络, 指数同步, 脉冲, 混合变时滞, Cohen-Grossberg neural network, Exponential synchronization, Impulsive effect, Mixed time-varying delay.
中文摘要：

该文研究了一类具有混合变时滞的脉冲Cohen—Grossberg神经网络模型的指数同步问题.通过构造适当的Lyapunov函数和利用反证法,得到了简单而有效的指数同步判据.最后,通过一个实例的数值模拟来说明所得结果的有效性.

英文摘要：

In this paper, the exponential synchronization of Cohen-Grossberg neural networks with mixed time-varying delays and impulsive effects is investigated. Based on the contradiction method and constructing suitable Lyapunov function, some simple and useful criteria for the synchronization of considered network are obtained. Finally, a numerical example is given to show the effectiveness and feasibility of the proposed synchronization scheme.

同期刊论文项目
复杂网络系统的有限时间同步控制研究
期刊论文 47 会议论文 7
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期刊信息
  • 《数学物理学报：A辑》
  • 北大核心期刊（2011版）
  • 主管单位:中国科学院
  • 主办单位:中国科学院武汉物理与数学研究所
  • 主编：李邦河 陈贵强 朱熹平
  • 地址：湖北省武汉市武昌小洪山西路30号武汉71010信箱
  • 邮编：430071
  • 邮箱：actams@wipm.ac.cn
  • 电话：027-87199206
  • 国际标准刊号：ISSN：1003-3998
  • 国内统一刊号：ISSN：42-1226/O
  • 邮发代号:38-214
  • 获奖情况:
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国数学评论（网络版）,德国数学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:5382