数学物理学报 ›› 2005, Vol. 25 ›› Issue (5): 621-626.

• 论文 • 上一篇    下一篇

无界变时滞神经网络全局稳定性

 曾志刚, 廖晓昕   

  1. 湖北师范学院数学系,中国科学技术大学自动化系,华中科技大学控制科学与工程系
  • 出版日期:2005-10-25 发布日期:2005-10-25
  • 基金资助:

    国家自然科学基金(60274007;60405002)面向21世纪教育振兴行动和湖北省教育

Global Stability for Neural Networks with Unbouned Time Varying Delays

 CENG Zhi-Gang, LIAO Xiao-Cuan   

  • Online:2005-10-25 Published:2005-10-25
  • Supported by:

    国家自然科学基金(60274007;60405002)面向21世纪教育振兴行动和湖北省教育

摘要:

该文研究了具无界变时滞的时变神经网络的全局稳定性.利用两种不同的分析方法得到了保证这类神经网络全局渐近稳定的一些充分条件.推广和改进了现有文献中常时滞或时滞为零的相应结果.

关键词: 无界变时滞, 神经网络, 全局稳定性

Abstract:

This paper studies the global stability of the neural network with unbounded time varying delays and time varying coefficients.Using two kinds of methods,some sufficient conditions have been obtained to guarantee that such neural network is globally stable. Moreover,when time delay is constant or doesn't exist,the results given in the paper extend the existing relevant stability results in the existing literature.

Key words: Unbounded time varying delay, Neural networks, Global stability

中图分类号: 

  • 34K20,93D20