Dynamic Analysis of Delayed Fuzzy Cellular Neural Networks with Time-Varying Coefficients

Authors:
Manchun Tan
Affiliations:
Department of Mathematics, Jinan University, Guangzhou, China 510632
Venue:
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Year:
2009

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Abstract

Some new sufficient conditions are obtained guaranteeing the exponential convergence behavior of each solution of fuzzy cellular neural networks (FCNNs) with variable delays and time-varying coefficients. Compared with some earlier works, the new criteria do not require the Lipschitz continuous condition on activation functions and the differentiability of variable delays.