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 apporoach, the measurement errors in the input variables are optimally handled by the least squares method. This method show good performance for input-output models.
Publisher
한국화학공학회
Issue Date
1996
Keywords

Data Reconciliation; Least-squares Estimation

Citation

Korean Journal of Chemical Engineering, Vol.13, No.2, pp.211-215

URI
http://hdl.handle.net/10203/25288
Appears in Collection
CBE-Journal Papers(저널논문)

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