Issue |
EPL
Volume 83, Number 5, September 2008
|
|
---|---|---|
Article Number | 50003 | |
Number of page(s) | 6 | |
Section | General | |
DOI | https://doi.org/10.1209/0295-5075/83/50003 | |
Published online | 21 August 2008 |
Predicting phase synchronization of nonphase-coherent chaos
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
Corresponding author: isao@jaist.ac.jp
Received:
18
January
2008
Accepted:
8
July
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 nonphase-coherent, making the synchronization analysis extremely difficult. To deal with such nonphase-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 nonphase-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.
PACS: 05.45.Tp – Time series analysis / 05.45.Xt – Synchronization; coupled oscillators / 82.40.Bj – Oscillations, chaos, and bifurcations
© EPLA, 2008
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.