Fuzzy Synchronization of Chaotic Systems based on Genetic Algorithm

被引：1

作者：

Wang Xiaohua ^{[1
]}

Ao Dun ^{[1
]}

Wu, Zhong Qiang ^{[1
]}

机构：

[1] Yanshan Univ, Coll Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China

来源：

NATURAL RESOURCES AND SUSTAINABLE DEVELOPMENT II, PTS 1-4 | 2012年 / 524-527卷

关键词：

synchronization; chaotic system; fuzzy method;

D O I：

10.4028/www.scientific.net/AMR.524-527.3809

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页码：3809 / 3814

页数：6

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