%0 Journal Article %T Exponential Stability of Cellular Neural Networks
细胞神经网络的指数稳定性 %A Shen Yi %A Jiang Minghui %A Yao Hongshan %A
沈轶 %A 江明辉 %A 姚宏善 %J 数学物理学报(A辑) %D 2005 %I %X In this paper the authors investigate the exponential stability of stochastic cellular neural networks with variable delay. By using the Razumikhin theorems and Lyapunov functions, the authors present two types of criteria for the exponential stability in the mena square and almost surely exponential stability of cellular neural networks. One type involves delay independent results while the other involves delay dependent results. %K Cellular neural network %K Exponential stability %K Razumikhin theorem %K Lyapunov function
细胞神经网络 %K 指数稳定性 %K Razumikhin定理 %K Lyapunov函数 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=4DB553CDB5F521D8C921082E5C95EC80&aid=A727BB75C75A434B&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=0B39A22176CE99FB&sid=7ABC4505E3960D2B&eid=DC330B09A33F1455&journal_id=1003-3998&journal_name=数学物理学报(A辑)&referenced_num=3&reference_num=11