Parameter identification of chaotic systems using evolutionary programming approach

被引：48

作者：

Chang, Jen-Fuh ^{[2
]}

Yang, Yi-Sung ^{[2
]}

Liao, Teh-Lu ^{[2
]}

Yan, Jun-Juh ^{[1
]}

机构：

[1] Shu Te Univ, Dept Comp & Commun, Kaohsiung 824, Taiwan

[2] Natl Cheng Kung Univ, Dept Engn Sci, Tainan 701, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2008年 / 35卷 / 04期

关键词：

identification; evolutionary programming approach; unified chaotic system;

D O I：

10.1016/j.eswa.2007.09.021

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is concerned with the parameter identification problem for chaotic systems. An evolutionary programming (EP) approach is newly introduced to solve this problem. The unknown parameters of chaotic systems are taken as a parameter vector, and will be optimally approximated to the exact values of parameters by using the proposed EP algorithm. The unified chaotic systems including Lorenz, Lu and Chen systems are used in an illustrative example to show the validity of the proposed method. (C) 2007 Elsevier Ltd. All rights reserved.

引用

页码：2074 / 2079

页数：6

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