3. Identification
3.1 Pretreatment
The identification and calibration of the model from experimental data begins with the acquisition and processing of input/output signals from the application of a test protocol to the process being modeled. These signals are acquired from the control system (PLC...) in sampled discrete form. They are first pre-processed and filtered. The actual identification operation can then begin. All this pre-processing has a major influence on the quality of the resulting model.
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Identification
Bibliography
References
Events
Industrial applications of PFC predictive control (SEE / ISA), June 2012.
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1 CD: Industrial applications of PFC SEE/ISA predictive control.
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