Noise Modeling, State Estimation and System Identification in Linear Differential-Algebraic Equations
2004 (English)Report (Other academic)
This paper treats how parameter estimation and Kalman filtering can be performed using a Modelica model. The procedures for doing this have been developed earlier by the authors, and are here exemplified on a physical system. It is concluded that the parameter and state estimation problems can be solved using the Modelica model, and that the parameters estimation and observer construction to a large extent could be automated with relatively small changes to a Modelica environment.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2004. , 13 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2639
DAE, Differential-algebraic equations, Modelica, System identification, Parameter estimation, Observer, Kalman filter
IdentifiersURN: urn:nbn:se:liu:diva-56003ISRN: LiTH-ISY-R-2639OAI: oai:DiVA.org:liu-56003DiVA: diva2:316729