Quasi-synchronization of Chaotic Neural Networks with Parameter Mismatch by Periodically Intermittent Control

Author

Huang, Junjian ; Li, Chuandong ; Han, Qi

Author_Institution

Coll. of Comput. Sci., Chongqing Univ., Chongqing, China

Volume

6

fYear

2009

fDate

March 31 2009-April 2 2009

Firstpage

485

Lastpage

489

Abstract

This paper describes a method for the weak synchronization of chaotic systems with parameter mismatch by using periodically intermittent control. Because of the small parameter mismatch, the synchronization is not complete. Via intermittent control with periodically intervals, we can obtain the quasi-synchronization. Some sufficient conditions for the stabilization and quasi-synchronization of a large class of coupled chaotic systems will be derived by using Lyapunov stability theory. The analytical results are confirmed by numerical simulations.

Keywords

Lyapunov methods; chaos; neural nets; stability; synchronisation; Lyapunov stability theory; chaotic neural network; coupled chaotic system; intermittent control; numerical simulation; parameter mismatch; quasi-synchronization; stabilization; weak synchronization; Chaos; Chaotic communication; Communication system control; Computer science; Control systems; Educational institutions; Neural networks; Nonlinear control systems; Numerical simulation; Oscillators; intermittent control; parameter mismatch; synchronization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Engineering, 2009 WRI World Congress on

Conference_Location

Los Angeles, CA

Print_ISBN

978-0-7695-3507-4

Type

conf

DOI

10.1109/CSIE.2009.502

Filename

5170746