变时滞区间细胞神经网络的全局鲁棒稳定性  

Global Robust Stability of Interval Cellular Neural Networks with Time-Varying Delays

作　　者：赵丹丹[1] 王林山[1] 

机构地区：[1]中国海洋大学数学系,山东青岛266071

出　　处：《生物数学学报》2006年第4期557-563,共7页Journal of Biomathematics

基　　金：国家自然科学基金(10171072)资助项目

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．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.

关 键 词：神经网络 变时滞 鲁棒稳定性 

分 类 号：O175.7[理学—数学]