Noise modeling, state estimation and system identification in linear differential-algebraic equations [Elektronisk resurs] / Markus Gerdin, Thomas Schön

• 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. 

Indexterm och SAB-rubrik

DAE Differential-algebraic equations Modelica System identification Parameter estimation Observer Kalman filter