Robust synchronization in an array of fuzzy delayed cellular neural networks with stochastically hybrid coupling

Authors:
Yang Tang;Jian-An Fang
Affiliations:
College of Information Science and Technology, Donghua University, Shanghai 201620, China and Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom Kowloon, Hong Kong, ...;College of Information Science and Technology, Donghua University, Shanghai 201620, China
Venue:
Neurocomputing
Year:
2009

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Abstract

In this paper, the robust synchronization control problem of an array of fuzzy cellular neural networks with uncertain stochastically coupling is investigated, which involves constant coupling, discrete time-varying delay coupling and distributed time-varying delay coupling. By using adaptive feedback control scheme and exploiting some stochastic analysis techniques, several sufficient conditions are developed to ensure the synchronization of stochastically hybrid coupled fuzzy neural networks with all admissible uncertainties in mean square. Finally, a numerical example illustrated by scale-free complex networks is provided to show the effectiveness and the applicability of the proposed method.