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System Identification Workflow  System identification is an
iterative process, where you identify models with different
structures from data and compare model performance. Ultimately,
you choose the simplest model that best describes the dynamics
of your system.  Because this toolbox lets you estimate
different model structures quickly, you should try as many
different structures as possible to see which one produces the
best results.  A system identification workflow might include
the following tasks:    1. Process data for system
identification by:      • Importing data into the MATLAB®
workspace.      • Representing data in the System Identification
Tool or as an iddata or idfrd object in the MATLAB workspace.
• Plotting data to examine both time- and frequency-domain
behavior.        To analyze the data for the presence of
constant offsets and trends, delay, feedback, and signal
excitation levels, you can also use the advice command.