DocumentCode
2294906
Title
Exponential synchronization of a class of chaotic neural network
Author
Qiao Zongmin ; Zhang Pei
Author_Institution
Dept. of Math., Hefei Normal Univ., Hefei, China
fYear
2012
fDate
6-8 July 2012
Firstpage
2194
Lastpage
2197
Abstract
Synchronization of chaotic system has become an important area of study. A chaotic system is a nonlinear deterministic system that possesses complex and unpredictable behaviour. Based on nonlinear state coupling, this paper derived a delay independent sufficient exponential synchronization condition based on the Lyapunov stability method and the Halanay inequality lemma. The proposed condition is less conservative than previously established ones in the literature.
Keywords
Lyapunov methods; asymptotic stability; linear matrix inequalities; neurocontrollers; nonlinear control systems; synchronisation; Halanay inequality lemma; Lyapunov stability method; chaotic neural network; chaotic system; delay independent sufficient condition; exponential synchronization; nonlinear deterministic system; nonlinear state coupling; Artificial neural networks; Biological neural networks; Chaos; Couplings; Delay; Synchronization; chaos; neural network; synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6358239
Filename
6358239
Link To Document