Summary
This chapter is dedicated to system identification and model-order reduction problems. The following items are discussed:
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the main steps of the system identification procedure
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concepts like ”persistence of excitation” and ”informative system identification experiment”
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input signal design for system identification experiments
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model-order reduction methods based on balanced truncation techniques
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nominal plant and plant uncertainties
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the system identification procedure is illustrated in the case of a brushless d.c. drive as well as a fuel cell.
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© 2013 Springer Berlin Heidelberg
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Forrai, A. (2013). System Identification and Model-Order Reduction. In: Embedded Control System Design. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28595-0_3
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DOI: https://doi.org/10.1007/978-3-642-28595-0_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28594-3
Online ISBN: 978-3-642-28595-0
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