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变时滞区间细胞神经网络的全局鲁棒稳定性
引用本文:赵丹丹,王林山.变时滞区间细胞神经网络的全局鲁棒稳定性[J].生物数学学报,2006,21(4):557-563.
作者姓名:赵丹丹  王林山
作者单位:中国海洋大学,数学系,山东,青岛,266071
摘    要:利用拓扑度理论和Liapunov泛函方法讨论了变时滞区间细胞神经网络的全局鲁棒稳定性.给出了实用有效的判定条件,推广了有关文献中的结果.

关 键 词:神经网络  变时滞  鲁棒稳定性
文章编号:1001-9626(2006)04-0557-07
修稿时间:2004年3月11日

Global Robust Stability of Interval Cellular Neural Networks with Time-Varying Delays
ZHAO Dan-dan,WANG Lin-shan.Global Robust Stability of Interval Cellular Neural Networks with Time-Varying Delays[J].Journal of Biomathematics,2006,21(4):557-563.
Authors:ZHAO Dan-dan  WANG Lin-shan
Abstract:This paper discusses the global robust stability of interval cellular neural networks with time-varying delays by the theory of topological degree and Liapunov functional methods.And the fairly general and easily verifiable criteria is presented.The cellular neural network model considered in this paper includes many well-known neural network models as its special cases.
Keywords:Cellular neural network  Time-varying delay  Robust stability
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