DocumentCode
2704592
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
fYear
2012
fDate
6-8 June 2012
Firstpage
57
Lastpage
60
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICInfA.2012.6246782
Filename
6246782
Link To Document