一类混沌时滞神经网络的反同步

The antisynchronization of a class of chaotic delayed neural networks.

作者信息

Zhu Huibin, Cui Baotong

机构信息

College of Communication and Control Engineering, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, People's Republic of China.

出版信息

Chaos. 2007 Dec;17(4):043122. doi: 10.1063/1.2816941.

DOI:10.1063/1.2816941

PMID:18163786

Abstract

In this paper, the antisynchronization problems of a class of chaotic delayed neural networks are investigated. Some criteria of the antisynchronization of the chaotic delayed neural networks are established by using the linear matrix inequality and Lyapunov stability theory. These criteria not only improve and generalize some known results, but are also some less conservative conditions. Finally, two numerical examples and the corresponding numerical simulations are used to illustrate the effectiveness of the obtained results.

摘要

本文研究了一类混沌时滞神经网络的反同步问题。利用线性矩阵不等式和Lyapunov稳定性理论，建立了混沌时滞神经网络反同步的一些判据。这些判据不仅改进和推广了一些已知结果，而且是一些保守性较小的条件。最后，通过两个数值例子及相应的数值模拟来说明所得结果的有效性。