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.

3.1.1 Sampling

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