Estimating Model Parameters from Time Series by Autosynchronization

19 February 1996

journal article
research article
Published by American Physical Society (APS) in Physical Review Letters

Vol. 76 (8) , 1232-1235
https://doi.org/10.1103/physrevlett.76.1232

Abstract

Parameters of a given model describing a (chaotic) dynamical system are estimated from scalar time series using autosynchronization where the parameter adaption process is controlled by the synchronization of the model to the given dynamics. A practical method is presented for deriving the necessary ordinary differential equations for the parameter controlling loop.

Keywords

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