Skip to main navigation Skip to search Skip to main content

A parametric perturbation method for controlling discrete hyperchaotic systems

  • Alexander Jimenez-Triana
  • , Carolina Gonzalez-Cotrino
  • , Guanrong Chen

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

A new method is developed for controlling hyperchaos in nth-order discrete systems by perturbing one of its parameters n times in a neighborhood of an unstable periodic orbit (UPO) embedded in the chaotic attractor. The method is a generalization of a recent result for controlling two-dimensional systems, and shows some advantages in comparison with classical methods for controlling chaos. Although the method is local by nature, it is shown to be robust, which allows its application in relatively large neighborhoods of the unstable orbits, and may be used in practical situations where noise, uncertainties, and external disturbances are present. To validate the applicability of the method, two different systems where stabilized, a three-dimensional hyperchaotic Hénon-like map, and a hyperchaotic generalized Hénon map, showing good performance as expected.
Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherIEEE
Pages6692-6697
ISBN (Print)9781479978861
DOIs
Publication statusPublished - 8 Feb 2015
Event54th IEEE Conference on Decision and Control (CDC 2015) - Osaka, Japan
Duration: 15 Dec 2015 → 18 Dec 2015
https://ieeexplore.ieee.org/xpl/conhome/7396016/proceeding

Publication series

Name
ISSN (Print)0743-1546

Conference

Conference54th IEEE Conference on Decision and Control (CDC 2015)
PlaceJapan
CityOsaka
Period15/12/15 → 18/12/15
Internet address

Research Keywords

  • Analytical models
  • Chaos
  • Control systems
  • Linear approximation
  • Orbits
  • Robustness
  • Uncertainty

Fingerprint

Dive into the research topics of 'A parametric perturbation method for controlling discrete hyperchaotic systems'. Together they form a unique fingerprint.

Cite this