Tailoring Wavelets for Chaos Control

G. W. Wei, Meng Zhan, and C.-H. Lai
Phys. Rev. Lett. 89, 284103 – Published 31 December 2002

Abstract

Chaos is a class of ubiquitous phenomena and controlling chaos is of great interest and importance. In this Letter, we introduce wavelet controlled dynamics as a new paradigm of dynamical control. We find that by modifying a tiny fraction of the wavelet subspaces of a coupling matrix, we could dramatically enhance the transverse stability of the synchronous manifold of a chaotic system. Wavelet controlled Hopf bifurcation from chaos is observed. Our approach provides a robust strategy for controlling chaos and other dynamical systems in nature.

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  • Received 12 July 2002

DOI:https://doi.org/10.1103/PhysRevLett.89.284103

©2002 American Physical Society

Authors & Affiliations

G. W. Wei1,2, Meng Zhan2, and C.-H. Lai3

  • 1Department of Mathematics, Michigan State University, East Lansing, Michigan 48824
  • 2Department of Computational Science, National University of Singapore, 117543, Singapore
  • 3Department of Physics, National University of Singapore, 117543, Singapore

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Issue

Vol. 89, Iss. 28 — 31 December 2002

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