Predicting Phase Synchronization from Non-synchronized Chaotic Data

Details Predicting Phase Synchronization from Non-synchronized Chaotic Data Predicting Phase Synchronization from Non-synchronized Chaotic Data

Jul 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002aipc..622..184t&link_type=abstract

EXPERIMENTAL CHAOS: 6th Experimental Chaos Conference, Proceedings of a conference held in Potsdam, Germany, 22-25 July 2001. Ed

Mathematics

Dynamical Systems

Chaos, Dynamical Systems, Nonlinear Systems, Oscillators, Parameter Identification, Synchronism, Time Series Analysis, Synchronization, Coupled Oscillators

Scientific paper

A novel modeling approach is presented for reconstruction of the global behavior of coupled chaotic systems from bivariate time series. We analyze two coupled chaotic oscillators, which are able to phase synchronize due to coupling. It is shown that our technique enables the recovery of the synchronization diagram from only three data sets. This allows the estimate of the relative strength of the coupling and the parameter mismatch of both subsystems.

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