Noise Modeling, State Estimation and System Identification in Linear Differential-Algebraic Equations

• 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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Nyckelord

DAE

Differential-algebraic equations

Modelica

System identification

Parameter estimation

Observer

Kalman filter

TECHNOLOGY

TEKNIKVETENSKAP

Automatic control

Publikations- och innehållstyp

vet (ämneskategori)

kon (ämneskategori)