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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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書誌詳細
主要な著者:	Ismail, Zool Hilmi, Jalaludin, N. A.
フォーマット:	論文
言語:	English
出版事項:	Frontiers Media S.A. 2022
主題:	T Technology (General)
オンライン･アクセス:	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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