Parameter identification of chaotic systems using evolutionary programming approach

Jen F. Chang, Yi Sung Yang, Teh-Lu Liao, Jun J. Yan

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)


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
Issue number4
Publication statusPublished - 2008 Nov 1

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

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