Noise Modeling, State Estimation and System Identification in Linear Differential-Algebraic Equations
2004 (English)In: Proceedings of the 5th Conference on Computer Science and Systems Engineering, 2004, 153-163 p.Conference paper (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
2004. 153-163 p.
DAE, Differential-algebraic equations, Modelica, System identification, Parameter estimation, Observer, Kalman filter
Engineering and Technology Control Engineering
IdentifiersURN: urn:nbn:se:liu:diva-23038Local ID: 2425OAI: oai:DiVA.org:liu-23038DiVA: diva2:243351
5th Conference on Computer Science and Systems Engineering, Norrköping, Sweden, October, 2004