Dynamic analysis of stochastic delayed cellular neural networks

The stability of stochastic delayed cellular neural networks(DCNNs) is investigated in this paper.Under the help of Lyapunov functional and the semimartingale convergence theorem, some sufficient criteria were obtained to check the almost sure exponential stability of the DCNNs.

作 者： ZHU En-wen WANG Yong ZOU Jie-zhong   作者單位： ZHU En-wen,ZOU Jie-zhong(School of Mathematic Sciences and Computing Techniques, Central South University, Changsha 410075, China)

WANG Yong(Dept. of Mathematics, Harbin Institute of Technology, Harbin 150001, China) 

刊 名： 哈爾濱工業(yè)大學(xué)學(xué)報(bào)（英文版）  EI 英文刊名： JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY  年，卷(期)： 2006 13(6)  分類號(hào)： O211.63  關(guān)鍵詞： Cellular neural network   Almost sure exponential stability   Lyapunov functional  

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