An augmented multiple imputation particle filter for river state estimation with missing observation
In this article, a new form of data assimilation (DA) method namely multiple imputation particle filter with smooth variable structure filter (MIPF–SVSF) is proposed for river state estimation. This method is introduced to perform estimation during missing observation by presenting new sets of data....
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/104151/1/ZoolHilmiIsmail2022_AnAugmentedMultipleImputationParticleFilter.pdf http://eprints.utm.my/104151/ http://dx.doi.org/10.3389/frobt.2021.788125 |
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