Adaptive synchronization of neural networks with different attractors

Abstract This paper aims to present an adaptive control scheme for the synchronization of two classes of uncertain neural networks with different attractors. A new sufficient condition for the global synchronization of two kinds of neural networks with different attractors is derived. The proposed control method is efficient and easy to be implemented. Numerical simulation is used to show the effectiveness of the obtained result. *Supported by National Natural Science Foundation of China (Grant Nos. 60534010, 60572070 and 60521003) and the Program for Changjiang Scholars and Innovative Research Team University

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