An approach of parameter estimation for a chaotic system based on genetic algorithm

被引：57

作者：

Dai, D ^{[1
]}

Ma, XK

Li, FC

You, Y

机构：

[1] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China

[2] Xi An Jiao Tong Univ, Sch Mech Engn, Xian 710049, Peoples R China

来源：

ACTA PHYSICA SINICA | 2002年 / 51卷 / 11期

关键词：

chaotic system; parameter estimation; genetic algorithm;

D O I：

10.7498/aps.51.2459

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Through establishing an appropriate fitness function, the problem of parameter estimation for a chaotic system is transformed to that of parameter optimization. Then, the problem of parameter optimization is solved by using genetic algorithm with its capacity of global searching optimization. A numerical simulation on the typical Lorenz chaotic system is conducted. The results show that the proposed method is effective, accurate and robust against the presence of noise.

引用

页码：2459 / 2462

页数：4

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