Polynomial fuzzy control design for synchronizing multi-scroll Chen chaotic systems

Ying Jen Chen, Hao Gong Chou, Wen June Wang

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

Abstract

This paper proposes a polynomial fuzzy control design strategy for synchronizing multi-scroll Chen chaotic systems. At first, the master and slave multi-scroll Chen chaotic systems are transformed into the equivalent polynomial fuzzy models. Then a polynomial fuzzy control is designed to synchronize the master and slave polynomial fuzzy models. In the control design, the polynomial feedback gains are obtained by solving sum-of-squares (SOS) constraints. Finally, the simulation results show the validity of the proposed polynomial fuzzy control design.

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.
Pages785-788
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
Country/TerritoryJapan
CitySapporo
Period13/05/1717/05/17

Keywords

  • Chaotic systems
  • Polynomial fuzzy control
  • Sum-of-squares (SOS)
  • Synchronization

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