Exponential synchronization of coupled fuzzy neural networks with disturbances and mixed time-delays

Authors:
Guan Wang;Quan Yin;Yi Shen
Affiliations:
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China and Key Laboratory of Image Processing and Intelligent Control of Educat ...;Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China and Key Laboratory of Image Processing and Intelligent Control of Educat ...;Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China and Key Laboratory of Image Processing and Intelligent Control of Educat ...
Venue:
Neurocomputing
Year:
2013

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Abstract

This paper focuses on the exponential synchronization problem of coupled fuzzy neural networks with disturbances and mixed time-delays. For the network under study, the effects of both random and vague factors are considered. By stochastic analysis techniques, we establish sufficient conditions for the coupled fuzzy neural networks to be exponentially synchronized in the mean square. It is demonstrated that the network synchronizability is largely dependent on the coupling structure of such network. Moreover, the information exchange network needs not to be undirected or strongly connected. Finally, numerical simulations are given to verify the usefulness and effectiveness of our results.