Global asymptotic synchronization of a class of chaotic neural networks by an adaptive method
Zhanshan Wang, Rui Zhang, Yuanwei Jing · 2009
This paper aims to present an adaptive control scheme for the global asymptotic synchronization for a class of chaotic neural networks. A new sufficient condition is derived for the global synchronization of a class of chaotic neural networks with different structure and interconnection parameters. The proposed control method is easy to be implemented. Numerical simulation shows the effectiveness of the obtained result.