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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358239
