Parameter identification of chaotic systems using evolutionary programming approach

Authors:
Jen-Fuh Chang;Yi-Sung Yang;Teh-Lu Liao;Jun-Juh Yan
Affiliations:
Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan, ROC;Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan, ROC;Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan, ROC;Department of Computer and Communication, Shu-Te University, Kaohsiung 824, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

Citing 3
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Abstract

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.