Data reconciliation for input-output models in linear dynamic systems

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Sequential data reconciliation algorithms have been developed for input-output models in linear dynamic systems. Existing filtering methods do not treat the case where there are measurement errors in the input variables. In our approach, the measurement errors in the input variables are optimally handled by the least squares method. This method shows good performance for input-output models.
Publisher
SPRINGER
Issue Date
1996-03
Language
English
Article Type
Article
Citation

KOREAN JOURNAL OF CHEMICAL ENGINEERING, v.13, no.2, pp.211 - 215

ISSN
0256-1115
DOI
10.1007/BF02705911
URI
http://hdl.handle.net/10203/77213
Appears in Collection
CBE-Journal Papers(저널논문)
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