Model Reduction of Estimated Models
1988 (English)In: Proceedings of the 8th IFAC Symposium on Identification and System Parameter Estimation, 1988, 971-976 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
1988. 971-976 p.
Mathematical statistics, Monte Carlo methods, Approximation theory, Maximum likelihood, Control systems
IdentifiersURN: urn:nbn:se:liu:diva-100577OAI: oai:DiVA.org:liu-100577DiVA: diva2:663114
8th IFAC Symposium on Identification and System Parameter Estimation, 27-31 August, 1988, Beijing, China