Global asymptotic synchronization of a class of chaotic neural networks by an adaptive method

Author

Wang, Zhanshan ; Zhang, Rui ; Jing, Yuanwei

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2009

fDate

17-19 June 2009

Firstpage

3187

Lastpage

3192

Abstract

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.

Keywords

Hopfield neural nets; adaptive control; cellular neural nets; linear matrix inequalities; neurocontrollers; nonlinear control systems; synchronisation; Hopfield neural network; LMI; adaptive control scheme; adaptive synchronization method; cellular neural network; chaotic neural network; global asymptotic synchronization; interconnection parameter; linear matrix inequality; Adaptive control; Adaptive systems; Chaos; Chaotic communication; Communication system control; Control systems; Linear matrix inequalities; Neural networks; Neurons; Nonlinear control systems; adaptive synchronization; chaotic system; linear matrix inequality; neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5192743

Filename

5192743