Noise Modeling, State Estimation and System Identification in Linear Differential-Algebraic Equations
Markus Gerdin, Thomas B. Schön · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2004
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.