Estimating Model Parameters from Time Series by Autosynchronization

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.