Title :
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
fDate :
March 31 2009-April 2 2009
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;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.502
