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： 哈爾濱工業大學學報（英文版）  EI 英文刊名： JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY  年，卷(期)： 2006 13(6)  分類號： O211.63  關鍵詞： Cellular neural network   Almost sure exponential stability   Lyapunov functional  

【Dynamic analysis of stochastic delay】相關文章：

Dynamic Analysis of Contact Bounce of Aerospace Relay Based on Finite Difference Method04-28

DYNAMIC RESOURCES OF RIVER SEDIMENTS04-29

STOCHASTIC HEAT EQUATIONS WITH RANDOM INITIAL CONDITIONS04-29

A stochastic method for convective storm identification,tracking and nowcasting04-26

Timescale Analysis of Spectral Lags04-29

Character Analysis of Scarlett and Melanie04-26

THE ANALYSIS OF THE MULTIPLE CHOICE ITEM04-27

Analysis of the suspension polymerization flows of polyvinyl chloride with the exergy analysis involving resource utiliz04-28

Elemental analysis of some Egyptian ores and industrial iron samples by neutron activation analysis04-28

LIMIT THEOREM FOR STOCHASTIC DIFFERENTIAL EQUATIONS DRIVEN BY SEMIMARTINGALES IN MANIFOLDS04-29