Parameter identification of chaotic systems using evolutionary programming approach

Jen Fuh Chang, Yi Sung Yang, Teh Lu Liao, Jun Juh Yan

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

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, Lü and Chen systems are used in an illustrative example to show the validity of the proposed method.

Original languageEnglish
Pages (from-to)2074-2079
Number of pages6
JournalExpert Systems With Applications
Volume35
Issue number4
DOIs
Publication statusPublished - 2008 Nov

All Science Journal Classification (ASJC) codes

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence

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