System Identification and Model-Order Reduction

  • Alexandru Forrai


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.


Nominal Plant Balance Truncation Multiplicative Uncertainty Unstructured Uncertainty Plant Uncertainty 
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Copyright information

© Springer Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Mitsubishi Elevator Europe VeenendaalThe Netherlands

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