Title :
Fuzzy synchronization of chaotic systems based on genetic algorithm
Author :
Xiaohua, Wang ; Songchen, Peng ; Dun, Ao ; Qiang, Wu Zhong
Author_Institution :
Guangzhou Yueneng Power Sci. & Technol. Ltd. Co., Guangzhou, China
Abstract :
We consider the synchronization problem of chaotic systems with uncertainties. We apply the fuzzy method to solve this problem, and the parameters of membership function are optimized by genetic algorithm, so that we can get the appropriate values for those parameters, and improve the ability of fuzzy controller. We carry out the simulations of synchronizing Henon chaotic systems with uncertainties, and the results show the effectiveness of this method.
Keywords :
fuzzy control; genetic algorithms; nonlinear control systems; synchronisation; uncertain systems; Henon chaotic system; fuzzy controller; fuzzy synchronization; genetic algorithm; membership function parameter; optimization; uncertain system; Chaotic communication; Fuzzy sets; Genetic algorithms; Niobium; Synchronization; Uncertainty; chaotic system; fuzzy method; synchronization;
Conference_Titel :
Information and Automation (ICIA), 2012 International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4673-2238-6
Electronic_ISBN :
978-1-4673-2236-2
DOI :
10.1109/ICInfA.2012.6246782
