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....
Saved in:
Main Authors: | , |
---|---|
格式: | Article |
语言: | English |
出版: |
Frontiers Media S.A.
2022
|
主题: | |
在线阅读: | http://eprints.utm.my/104151/1/ZoolHilmiIsmail2022_AnAugmentedMultipleImputationParticleFilter.pdf http://eprints.utm.my/104151/ http://dx.doi.org/10.3389/frobt.2021.788125 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|