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  Synchronization based system identification of an extended excitable system

Berg, S., Luther, S., & Parlitz, U. (2011). Synchronization based system identification of an extended excitable system. Chaos, 21(3): 033104. doi:10.1063/1.3613921.

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 Creators:
Berg, Sebastian1, Author              
Luther, Stefan1, Author              
Parlitz, Ulrich1, Author              
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1Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063288              

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Free keywords: Chaotic dynamics, Data assimilation, Partial differential equations, Surface dynamics, synchronization
 Abstract: A basic state and parameter estimation scheme for an extended excitable system is presented, where time series from a spatial grid of sampling points are used to drive and synchronize corresponding model equations. Model parameters are estimated by minimizing the synchronization error. This estimation scheme is demonstrated using data from generic models of excitable media exhibiting spiral wave dynamics and chaotic spiral break-up that are implemented on a graphics processing unit.

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Language(s): eng - English
 Dates: 2011-09
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1063/1.3613921
BibTex Citekey: berg_synchronization_2011
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Title: Chaos
Source Genre: Journal
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Publ. Info: Woodbury, NY : American Institute of Physics
Pages: 6 Volume / Issue: 21 (3) Sequence Number: 033104 Start / End Page: - Identifier: ISSN: 1054-1500
CoNE: https://pure.mpg.de/cone/journals/resource/954922836228