Synchronization-based parameter estimation from time series.

@article{Parlitz1996SynchronizationbasedPE,
  title={Synchronization-based parameter estimation from time series.},
  author={Parlitz and Junge and Kocarev},
  journal={Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics},
  year={1996},
  volume={54 6},
  pages={6253-6259}
}
The synchronization of~unidirectionally! coupled dynamical systems is currently investigated very intensely, in particular due to its potential applications in communication ~see@1–9#!. In this paper we want to address the question how synchronization can be used for modeling and time series analysis. Assume that you have sampled a time series from some~chaotic! physical process and that you know the structure of the underlying equations but not the parameters and those state variables that… CONTINUE READING
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