一类具有连续分布时滞的细胞神经网络的全局指数稳定性和周期解  

The Exponential Stability & Periodic Solutions of a Class of Cellular Neural Networks with Continuous-distributed Delays

作　　者：戴志娟[1] 

机构地区：[1]扬州教育学院数学系,江苏扬州225002

出　　处：《扬州教育学院学报》2006年第3期39-43,共5页Journal of Yangzhou College of Education

摘　　要：研究了一类具有连续分布时滞的细胞神经网络的全局指数稳定性和周期解的存在性,通过运用新的分析技巧和构造适当的Lyapunov函数,给出了该网络的全局指数稳定性和周期解的存在的简单充分条件。This article discusses the global exponential stability and the existence of periodic solutions of a class of continuous-distributed delayed cellular neural networks(DCNNs),to which simple and sufficient conditions are provided by applying new analysis techniques and constructing suitable Lyapunov functions.

关 键 词：指数稳定性 周期解 细胞神经网络 时滞 LYAPUNOV函数 

分 类 号：O175[理学—数学]