Dynamic System State Estimation and Outlier Detection Using Robust Data Reconciliation

Dynamic System State Estimation and Outlier Detection Using Robust Data Reconciliation

State estimation and detection of measurement systematic errors are critical components of plant monitoring and control procedures. Reliable estimations of the process variables are attained by Classic Dynamic Data Reconciliation procedures when measurements follow exactly a known distribution. Howe...

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Bibliographic Details
Main Authors:	Claudia E. Llanos, Mabel C. Sanchez, Ricardo A. Maronna
Format:	Article
Language:	English
Published:	AIDIC Servizi S.r.l. 2019-05-01
Series:	Chemical Engineering Transactions
Online Access:	https://www.cetjournal.it/index.php/cet/article/view/9886

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