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具有无穷时滞的细胞神经网络的全局稳定性分析
引用本文:张继业.具有无穷时滞的细胞神经网络的全局稳定性分析[J].应用数学和力学,2004,25(6):627-634.
作者姓名:张继业
作者单位:西南交通大学 牵引动力国家重点实验室,成都 610031
基金项目:国家自然科学基金资助项目(10272091)
摘    要:对具有无穷时滞的细胞神经网络平衡点的存在性、唯一性和全局渐近稳定性进行了分析.在放弃了激活函数的有界性、单调性和可微性假设的情况下,得到了系统的平衡点的存在性条件.利用向量Liapunov函数法的思想,构造适当的含有变时滞和无穷时滞的微分-积分不等式,通过对微分-积分不等式的稳定性分析,得到了神经网络系统的全局渐近稳定的充分条件.

关 键 词:神经网络    时滞    细胞神经网络    稳定性
文章编号:1000-0887(2004)06-0627-08
收稿时间:2002-02-28
修稿时间:2002年2月28日

Global Stability Analysis in Cellular Neural Networks With Unbounded Time Delays
ZHANG Ji_ye.Global Stability Analysis in Cellular Neural Networks With Unbounded Time Delays[J].Applied Mathematics and Mechanics,2004,25(6):627-634.
Authors:ZHANG Ji_ye
Institution:National Traction Power Laboratory, Southwest Jiaotong University, Chengdu 610031, P. R. China
Abstract:Without assuming the boundedness and differentiability of the activation functions, the conditions ensuring existence, uniqueness, and global asymptotical stability of the equilibrium point of cellular neural networks with unbounded time delays and variable delays were studied. Using the idea of vector Liapunov method, the intero_differential inequalities with unbounded delay and variable delays were constructed. By the stability analysis of the intero_differential inequalities, the sufficient conditions for global asymptotic stability of cellular neural networks were obtained.
Keywords:neural network  time delay  cellular neural network  stability
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