The identification of models from experimental data is the first step in model-based control design. Furthermore, when the model is of high order, it is normal to reduce the model order for a simpler controller design. Low order identified models are the fundamental elements for the design of practical control systems.
Dimensionless systems identification and model order reduction, Page 1 of 2
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