Both the selection of an appropriate model structure and the
identification of accurate model parameters are datadriven
processes, i.e., the efficiency and accuracy of these procedures are
determined by the quality of the experimental data. Experimental
data should enclose sufficient information with respect to the
studied system. As a result, a well thought experimental scheme
can significantly improve model building and parameter
estimation.