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		Manchun TAN.[en_title][J].Control Theory and Technology,2011,9(4):500~504.[Copy]

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ManchunTAN
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(Department of Mathematics, Jinan University)

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Received:August 25, 2008Revised:March 09, 2011

基金项目:This work was supported by the National Natural Science Foundation of China (No. 50578064) and the Foundation of Science and Technology of Guangdong Province in China (No. 2009B011400046).

Exponential convergence and stability of delayed fuzzy cellular neural networks with time-varying coefficients

Manchun TAN

(Department of Mathematics, Jinan University)

Abstract:

In this paper, the dynamic behaviors of fuzzy cellular neural networks (FCNNs) with time-varying coefficients and delays are considered. Some criteria are established to ensure the exponential convergence or exponential stability of such neural networks. The effectiveness of obtained results is illustrated by a numerical example.

Key words: Delayed neural networks Exponential convergence Exponential stability Fuzzy cellular neural networks Time-varying coefficients