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Data assimilation approach to analysing systems of ordinary differential equations

Abstract:
The problem of parameter fitting for nonlinear oscillator models to noisy time series is addressed using a combination of Ensemble Kalman Filter and optimisation techniques. Encouraging preliminary results for acceptable sampling rates and noise levels are presented. Application to the understanding and control of tokamak nuclear reactor operation is discussed.
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1109/ISCAS.2018.8351751

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Oxford college:
Balliol College
Role:
Author
ORCID:
0000-0002-0963-5550
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Culham Centre for Fusion Energy More from this funder
Publisher:
Institute for Electrical and Electronics Engineers Publisher's website
Publication date:
2018-05-04
Acceptance date:
2018-01-15
DOI:
ISSN:
0271-4310
Pubs id:
pubs:950550
URN:
uri:bd069005-e727-4843-b121-05de53b059c0
UUID:
uuid:bd069005-e727-4843-b121-05de53b059c0
Local pid:
pubs:950550
ISBN:
9781538648810

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