Stalling chaos control accelerates convergence

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Christian Bick - , Max Planck Institute for Dynamics and Self-Organization, Bernstein Center for Computational Neuroscience Göttingen, Georg-August-Universität Göttingen (Autor:in)
  • Christoph Kolodziejski - , Max Planck Institute for Dynamics and Self-Organization, Georg-August-Universität Göttingen (Autor:in)
  • Marc Timme - , Max Planck Institute for Dynamics and Self-Organization, Bernstein Center for Computational Neuroscience Göttingen, Georg-August-Universität Göttingen (Autor:in)

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

OriginalspracheEnglisch
Aufsatznummer063038
FachzeitschriftNew journal of physics
Jahrgang15
PublikationsstatusVeröffentlicht - Juni 2013
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

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

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