Arter, W, Osojnik, A, Cartis, C et al. (3 more authors) (2018) Data assimilation approach to analysing systems of ordinary differential equations. In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS). 2018 IEEE ISCAS, 27-30 May 2018, Florence, Italy. IEEE ISBN 978-1-5386-4881-0
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Aug 2019 11:57 |
Last Modified: | 07 Aug 2019 11:57 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ISCAS.2018.8351751 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149447 |