The antisynchronization of a class of chaotic delayed neural networks

Huibin Zhu; Baotong Cui

doi:10.1063/1.2816941

The antisynchronization of a class of chaotic delayed neural networks

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

Authors

Huibin Zhu¹, Baotong Cui

Affiliation

¹ College of Communication and Control Engineering, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, People's Republic of China.

PMID: 18163786
DOI: 10.1063/1.2816941

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Computer Simulation
Models, Statistical
Models, Theoretical
Neural Networks, Computer*
Nonlinear Dynamics*
Oscillometry
Physical Phenomena
Physics
Semiconductors
Systems Theory