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Open Access item Approach to predictability via anticipated ynchronization

Authors:Ciszak, Marzena
Gutiérrez, J. M.
Cofiño, A. S.
Mirasso, Claudio R.
Toral, Raúl
Pesquera, Luis
Ortín, S.
Keywords:Synchronisation, Chaos, Nonlinear dynamical systems, Neural nets, Physics computing
Issue Date:25-Oct-2005
Publisher:American Physical Society
Citation:Physical Review E 72(1-8): 046218 2005)
Abstract:Predictability of chaotic systems is limited, besides the precision of the knowledge of the initial conditions, by the error of the models used to extract the nonlinear dynamics from the time series. In this paper we analyze the predictions obtained from the anticipated synchronization scheme using a chain of slave neural network approximate replicas of the master system. We compare the maximum prediction horizons obtained with those attainable using standard prediction techniques.
Description:8 pages.-- PACS nrs.: 05.45.Xt, 95.10.Fh, 87.18.Sn.
Publisher version (URL):http://dx.doi.org/10.1103/PhysRevE.72.046218
URI:http://hdl.handle.net/10261/7459
ISSN:1539-3755
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Appears in Collections:(IFCA) Artículos

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