Parameter identification of chaotic systems using evolutionary programming approach

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 value...

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Published inExpert systems with applications Vol. 35; no. 4; pp. 2074 - 2079
Main Authors Chang, Jen-Fuh, Yang, Yi-Sung, Liao, Teh-Lu, Yan, Jun-Juh
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.11.2008
Subjects
Evolutionary programming approach
Identification
Unified chaotic system
Evolutionary programming approach
Unified chaotic system
Identification
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Summary: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, Lü and Chen systems are used in an illustrative example to show the validity of the proposed method.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2007.09.021