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Physics-aware tuning of the unscented Kalman filter: statistical framework for solving inverse problems involving nonlinear dynamical systems and missing data

Crossref DOI link: https://doi.org/10.1007/s11071-024-09760-z

Published Online: 2024-06-06

Published Print: 2025-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ghorbani, Esmaeil

Dollon, Quentin

Gosselin, Frederick P.
Funding

Funding for this research was provided by:

Hydro-Québec

Maya HTT

Natural Sciences and Engineering Research Council of Canada (ALLRP 556353-20, ALLRP 556353-20)

InnovÉÉ Innovation en énergie électrique
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Text and Data Mining valid from 2024-06-06

Version of Record valid from 2024-06-06
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Article History

Received: 3 April 2024

Accepted: 11 May 2024

First Online: 6 June 2024

Conflicts of interest

: The authors declare that they have no conflict of interest.

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