Home News About Us Contact Contributors Disclaimer Privacy Policy Help FAQ

Home
Search
Quick Search
Advanced
Fulltext
Browse
Collections
Persons
My eDoc
Session History
Login
Name:
Password:
Documentation
Help
Support Wiki
Direct access to
document ID:


          Institute: MPI für Dynamik und Selbstorganisation     Collection: Nichtlineare Dynamik und Arrhythmia des Herzens     Display Documents



  history
ID: 708928.0, MPI für Dynamik und Selbstorganisation / Nichtlineare Dynamik und Arrhythmia des Herzens
Accurate state and parameter estimation in nonlinear systems with sparse observations
Authors:Rey, Daniel; Eldridge, Michael; Kostuk, Mark; Abarbanel, Henry D. I.; Schumann-Bischoff, Jan; Parlitz, Ulrich
Language:English
Date of Publication (YYYY-MM-DD):2014-02
Title of Journal:Physics Letters A
Journal Abbrev.:Phys. Lett. A
Volume:378
Start Page:869
End Page:873
Review Status:Peer-review
Audience:Experts Only
Intended Educational Use:Yes
Abstract / Description:Transferring information from observations to models of complex systems may meet impediments when the number of observations at any observation time is not sufficient. This is especially so when chaotic behavior is expressed. We show how to use time-delay embedding, familiar from nonlinear dynamics, to provide the information required to obtain accurate state and parameter estimates. Good estimates of parameters and unobserved states are necessary for good predictions of the future state of a model system. This method may be critical in allowing the understanding of prediction in complex systems as varied as nervous systems and weather prediction where insufficient measurements are typical.
Free Keywords:Data assimilation; Synchronization; Time series analysis; System identification
External Publication Status:published
Document Type:Article
Communicated by:Folkert Mueller-Hoissen
Affiliations:MPI für Dynamik und Selbstorganisation/Nichtlineare Dynamik und Arrhythmia des Herzens
External Affiliations:Univ Calif San Diego, Dept Phys, La Jolla, CA 92093 USA;
Univ Calif San Diego, Scripps Inst Oceanog, Marine Phys Lab, La Jolla, CA 92093 USA;
Univ Gottingen, Inst Nonlinear Dynam, D-37077 Goettingen, Germany
Identifiers:DOI:10.1016/j.physleta.2014.01.027
The scope and number of records on eDoc is subject to the collection policies defined by each institute - see "info" button in the collection browse view.