REMOVING SINGULARITIES AND ASSESSING UNCERTAINTIES IN TWO EFFICIENT GROSS ERROR COLLECTIVE COMPENSATION METHODS
Author:
Affiliation:
1. a School of Chemical Engineering and Materials Science, University of Oklahoma , Norman, OK, USA
2. b Planta Piloto de Ingenieria Quimica (UNS-CONICET) , Camino La Carrindanga. Km 7 (8000), Bahia Blanca, OK, Argentina
Publisher
Informa UK Limited
Subject
General Chemical Engineering,General Chemistry
Link
https://www.tandfonline.com/doi/pdf/10.1080/00986440008912173
Reference13 articles.
1. Gross error modeling and detection in plant linear dynamic reconciliation
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1. Tighter Mixed-Integer Quadratic Programming Model for Process Data Rectification;Industrial & Engineering Chemistry Research;2020-05-06
2. Location Estimation-Based Mixed Integer Linear Programming Approach for Multiple Gross Error Identification;Industrial & Engineering Chemistry Research;2019-09-16
3. Data processing and reconciliation in chemical process operations. By J. Romagnoli and M. C. Sánchez, Academic Press, San Diego, 2000, 270 pp., $79.95;AIChE Journal;2001-04
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