Stalling chaos control accelerates convergence

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Christian Bick - , Max Planck Institute for Dynamics and Self-Organization, Bernstein Center for Computational Neuroscience Göttingen, University of Göttingen (Author)
  • Christoph Kolodziejski - , Max Planck Institute for Dynamics and Self-Organization, University of Göttingen (Author)
  • Marc Timme - , Max Planck Institute for Dynamics and Self-Organization, Bernstein Center for Computational Neuroscience Göttingen, University of Göttingen (Author)

Abstract

Since chaos control has found its way into many applications, the development of fast, easy-to-implement and universally applicable chaos control methods is of crucial importance. Predictive feedback control has been widely applied but suffers from a speed limit imposed by highly unstable periodic orbits. We show that this limit can be overcome by stalling the control, thereby taking advantage of the stable directions of the uncontrolled chaotic map. This analytical finding is confirmed by numerical simulations, giving a chaos-control method that is capable of successfully stabilizing periodic orbits of high period.

Details

Original languageEnglish
Article number063038
JournalNew journal of physics
Volume15
Publication statusPublished - Jun 2013
Peer-reviewedYes
Externally publishedYes

External IDs

ORCID /0000-0002-5956-3137/work/142242480

Keywords

ASJC Scopus subject areas

Library keywords