Model reduction of estimated models
1989 (English)In: Eighth IFAC/IFORS Symposium on Identification and System Parameter Estimation 1988. Part 1, 1989, Vol. 2, no 8, 683-688 p.Conference paper (Refereed)
This paper deals with the connection between system identification and model reduction. We will from a statistical point of view discuss how to reduce the order of high-order models obtained from an identification experiment. We will apply these results to estimate transfer functions by means of a high-order FIR model and model reduction. The model reduction techniques considered are: Frequency weighted L2-norm model reduction and model reduction via a truncated frequency weighted balanced realization.
Place, publisher, year, edition, pages
1989. Vol. 2, no 8, 683-688 p.
Mathematical Statistics - Monte Carlo Methods, Mathematical Techniques - Approximation Theory, Probability, Maximum Likelihood, Model Reduction, Control Systems
IdentifiersURN: urn:nbn:se:kth:diva-55450OAI: oai:DiVA.org:kth-55450DiVA: diva2:471569
Eighth IFAC/IFORS Symposium on Identification and System Parameter Estimation 1988. Beijing, China. 27 August 1988 - 31 August 1988
QC 20120104. Sponsors: IFAC, Theory Committee; IFAC, Application Committee; IFAC, Education Committee; IFAC, Developing Country Committee; Int Federation of Operational Research Soc (IFORS); et al2012-01-022012-01-022013-09-05Bibliographically approved