System Identification of Retardation Forces Using Frequency Domain Data

Abstract

The thesis includs how the I.R.Fx toolboxes are developed. Two system identification methods are used in this thesis, realization theory and frequency domain regression. The implementation aspects of the toolbox show that numerical errors will occur. This is due to the data available for identification and because of discrete time calculations. A pole/zero of systems identified using realization theory shows that the zeros will be more affected by the changing sampling time. This result may however not be conclusive.