Chaotic synchronizing systems via Iterative Learning Control

Chun Kai Cheng, Paul C.-P. Chao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This study presents an application of Iterative Learning Control Theory (ILC) for synchronization between two chaotic systems with output signal error. The iterative learning law illustrates the relationship between (i-1)-Th iterative error output of drive-response system and iterative (i-Th) input of response system. The error convergent describes the path response system tracking the trajectory of drive system. There also proposes principles to show system synchronized is Lyapunov stable and to explain the equivalent relation of error initial conditions. The numerical simulation demonstrates the results are agreement with the proposed learning law and scheme.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Conference on Applied System Innovation
Subtitle of host publicationApplied System Innovation for Modern Technology, ICASI 2017
EditorsTeen-Hang Meen, Artde Donald Kin-Tak Lam, Stephen D. Prior
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages453-456
Number of pages4
ISBN (Electronic)9781509048977
DOIs
StatePublished - 21 Jul 2017
Event2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, Japan
Duration: 13 May 201717 May 2017

Publication series

NameProceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017

Conference

Conference2017 IEEE International Conference on Applied System Innovation, ICASI 2017
CountryJapan
CitySapporo
Period13/05/1717/05/17

Keywords

  • Chaos
  • Chaotic system
  • Iterative Learning Control (ILC)
  • Synchronization

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