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时滞神经网络全局渐近稳定性条件

周冬明 曹进德 张立明

周冬明, 曹进德, 张立明. 时滞神经网络全局渐近稳定性条件[J]. 应用数学和力学, 2005, 26(3): 341-348.
引用本文: 周冬明, 曹进德, 张立明. 时滞神经网络全局渐近稳定性条件[J]. 应用数学和力学, 2005, 26(3): 341-348.
ZHOU Dong-ming, CAO Jin-de, ZHANG Li-ming. Global Asymptotic Stability Conditions of Delayed Neural Networks[J]. Applied Mathematics and Mechanics, 2005, 26(3): 341-348.
Citation: ZHOU Dong-ming, CAO Jin-de, ZHANG Li-ming. Global Asymptotic Stability Conditions of Delayed Neural Networks[J]. Applied Mathematics and Mechanics, 2005, 26(3): 341-348.

时滞神经网络全局渐近稳定性条件

基金项目: 国家自然科学基金资助项目(60171036)
详细信息
    作者简介:

    周冬明(1963- ),男,湖南人,副教授,博士(E-mail:dmzhou@ynu.edu.cn);张立明(1943- ),女,上海人,教授,博导(联系人.Tel:+86-21-55664041;Fax:+86-21-65648783;E-mail:lmzhang@fudan.edu.cn).

  • 中图分类号: O175;TP183

Global Asymptotic Stability Conditions of Delayed Neural Networks

  • 摘要: 利用Liapunov泛函方法,结合矩阵不等式技巧,分析了时滞细胞神经网络(DCNNs)的平衡点存在的唯一性和全局渐近稳定性,保证DCNNs的全局稳定性的一个新的充分判据被得到.所得判据提供了一些参数来适当地弥补了反馈矩阵与时滞反馈矩阵之间所需要的平衡关系.这些判据可以容易被使用来设计和检验全局稳定的网络.此外,所得判据是与时滞参数无关,且比已有文献具有更少的限制.
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出版历程
  • 收稿日期:  2003-04-28
  • 修回日期:  2004-09-15
  • 刊出日期:  2005-03-15

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