Volume 83, Number 5, September 2008
Article Number 50003
Number of page(s) 6
Section General
Published online 21 August 2008
EPL, 83 (2008) 50003
DOI: 10.1209/0295-5075/83/50003

Predicting phase synchronization of non$\hbox{--}$phase-coherent chaos

I. T. Tokuda1, J. Kurths2, 3, I. Z. Kiss4 and J. L. Hudson5

1  School of Information Science, Japan Advanced Institute of Science and Technology - Ishikawa 923-1292, Japan
2  Department of Physics, Humboldt University Berlin - Newtonstr. 15, 12489 Berlin, Germany
3  Potsdam Institute for Climate Impact Research - Telegraphenberg A 31, 14473 Potsdam, Germany
4  Department of Chemistry, Saint Louis University - 3501 Laclede Ave., St. Louis, MO 63103-2010, USA
5  Department of Chemical Engineering, University of Virginia - 102 Engineers' Way, Charlottesville, VA 22904, USA

received 18 January 2008; accepted in final form 8 July 2008; published September 2008
published online 21 August 2008

A new approach is presented for the reconstruction of phase synchronization phenomena from measurement data of two coupled chaotic oscillators. The oscillators are assumed to be non$\hbox{--}$phase-coherent, making the synchronization analysis extremely difficult. To deal with such non$\hbox{--}$phase-coherent systems, a CPR index has been recently developed based on the idea of recurrence plot. The present study combines a nonlinear modeling technique with the CPR index to recover the synchronization diagram of non$\hbox{--}$phase-coherent oscillators. Lyapunov exponents are also utilized to locate the onset point of synchronization. This allows the prediction of the regime of phase synchronization as well as non-synchronization in a broad parameter space of coupling strength without further experiments. The efficiency of this technique is demonstrated with simulated data from two coupled Rössler oscillators as well as with experimental data from electrochemical oscillators.

05.45.Tp - Time series analysis.
05.45.Xt - Synchronization; coupled oscillators.
82.40.Bj - Oscillations, chaos, and bifurcations.

© EPLA 2008