System Identification and Model-Order Reduction
This chapter is dedicated to system identification and model-order reduction problems. The following items are discussed:
the main steps of the system identification procedure
concepts like ”persistence of excitation” and ”informative system identification experiment”
input signal design for system identification experiments
model-order reduction methods based on balanced truncation techniques
nominal plant and plant uncertainties
the system identification procedure is illustrated in the case of a brushless d.c. drive as well as a fuel cell.
KeywordsNominal Plant Balance Truncation Multiplicative Uncertainty Unstructured Uncertainty Plant Uncertainty
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