Stability analysis of stochastic fuzzy cellular neural networks with time-varying delays

Authors:
Shujun Long;Daoyi Xu
Affiliations:
Yangtze Center of Mathematics, Sichuan University, Chengdu 610064, PR China and College of Mathematics and Information Science, Leshan Teachers College, Leshan 614004, PR China;Yangtze Center of Mathematics, Sichuan University, Chengdu 610064, PR China
Venue:
Neurocomputing
Year:
2011

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Abstract

In this paper, a class of stochastic fuzzy cellular neural networks with time-varying delays is investigated. By establishing a new L@?operator inequality and using the properties of M@?matrix, under more relaxing condition of the diffusion coefficient matrix, we obtain the sufficient condition ensuring the exponential pth moment stability and almost sure exponential stability of stochastic fuzzy cellular neural networks with time-varying delays. One example is given to illustrate the effectiveness of the obtained results.