DocumentCode
700694
Title
Dynamic system calibration by system identification methods
Author
Ergon, R. ; Di Ruscio, D.
Author_Institution
Telemark Inst. of Technol., Porsgrunn, Norway
fYear
1997
fDate
1-7 July 1997
Firstpage
1556
Lastpage
1561
Abstract
Primary output variables from industrial processes can be estimated from known input variables and secondary process measurements. As a basis for this, the dynamic predictor has to be identified from data collected during a calibration experiment. In this paper, the theoretical basis for this is investigated, and a systematic experimental method is proposed.
Keywords
calibration; identification; predictive control; process control; calibration experiment; dynamic predictor; dynamic system calibration; industrial processes; known input variables; primary output variables; secondary process measurements; system identification methods; Calibration; Estimation; Kalman filters; Mathematical model; Noise; Noise measurement; Predictive models; Estimation; multivariate calibration; system identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 1997 European
Conference_Location
Brussels
Print_ISBN
978-3-9524269-0-6
Type
conf
Filename
7082324
Link To Document