- 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
- Files:
-
-
(pdf, 997.5KB)
-
- Publisher copy:
- 10.1109/ISCAS.2018.8351751
-
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- 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
- Copyright holder:
- Institute for Electrical and Electronics Engineers
- Copyright date:
- 2018
- Notes:
- © 2018 IEEE. This is the accepted manuscript version of the article. The final version is available online from Institute for Electrical and Electronics Engineers at: https://doi.org/10.1109/ISCAS.2018.8351751
Conference item
Data assimilation approach to analysing systems of ordinary differential equations
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Culham Centre for Fusion Energy
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