Optimal PID control design for synchronization of delayed discrete chaotic systems

Meei Ling Hung, Jui Sheng Lin, Jun Juh Yan, Teh Lu Liao

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

This paper is concerned with the design of a proportional-integral-derivative (PID) controller for synchronization of delayed discrete chaotic models. The evolutionary programming algorithm (EPA) has been considered as a useful technique for finding global optimization solutions for certain complicated functions in recent years. Therefore, in this paper, we attempt to use the EP algorithm in PID control design for deriving optimal or near optimal PID control gains such that a performance index between the master and slave chaotic systems is minimized. A numerical result exemplifies the synchronization procedure.

Original languageEnglish
Pages (from-to)781-785
Number of pages5
JournalChaos, solitons and fractals
Volume35
Issue number4
DOIs
Publication statusPublished - 2008 Feb

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Mathematics(all)
  • Mathematical Physics
  • Physics and Astronomy(all)
  • Applied Mathematics

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