A mixed integer optimization approach for simultaneous data reconciliationand identification of measurement bias

Authors
Soderstrom, TA Himmelblau, DM Edgar, TF
Citation
Ta. Soderstrom et al., A mixed integer optimization approach for simultaneous data reconciliationand identification of measurement bias, CON ENG PR, 9(8), 2001, pp. 869-876
Citations number
17
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
CONTROL ENGINEERING PRACTICE
ISSN journal
09670661 → ACNP
Volume
9
Issue
8
Year of publication
2001
Pages
869 - 876
Database
ISI
SICI code
0967-0661(200108)9:8<869:AMIOAF>2.0.ZU;2-E
Abstract
The problem of data reconciliation and the detection and identification of gross errors, such as measurement bias, are closely related. This close rel ationship prompted the development of a technique that combines these ideas within a mixed integer optimization framework. This paper describes such a n approach and demonstrates its performance with a challenging test problem . (C) 2001 Elsevier Science Ltd. All rights reserved.