Dynamic system calibration by system identification methods

Ergon, Rolf; Di Ruscio, David Luigi
Chapter, Peer reviewed
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http://hdl.handle.net/11250/2438387
Date
1997
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Original version
Conference paper. 4th European Control Conference. Brussels, July 1-4, 1997  
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 identi ed from data collected during a calibration experiment. In this paper, the theoretical basis for this is investigated, and a systematic experimental method is proposed.