变时滞反馈神经网络的全局指数稳定性

  • 王培光 ,
  • 王宁 ,
  • 鲍俊艳
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  • 1.河北大学,电子与信息工程学院,河北,保定,071002; 2.河北大学,数学与计算机学院,河北,保定,071002

网络出版日期: 2006-03-25

基金资助

河北省自然科学基金

On Global Exponential Stability of Recurrent Neural Networks with Time-varying Delays

  • WANG Pei-guang ,
  • WANG Ning ,
  • BAO Jun-yan
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Online published: 2006-03-25

摘要

通过引入更加广泛的一类Lyapunov-Krasovskii泛函,并利用线性矩阵不等式分析技巧,得到了关于可变时滞广义神经网络模型平衡位置全局指数稳定的最新判据,并且判别条件中不限制连接权矩阵符号.该结果精炼和推广了一些已有的结果,并且更少保守,在实践上易于程序实现,方便使用.

本文引用格式

王培光 , 王宁 , 鲍俊艳 . 变时滞反馈神经网络的全局指数稳定性[J]. 河北大学学报(自然科学版), 2006 , 26(2) : 123 -126,138 . DOI: 10.3969/j.issn.1000-1565.2006.02.004

参考文献

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