Constrained state–space system identification with application to structural dynamics
Artikel i vetenskaplig tidskrift, 2006

Constrained identification of state–space models representing structural dynamic systems is addressed. Based on physical insight, transfer function constraints are formulated in terms of the state–space parametrization. A simple example shows that a method tailored for this application, which utilizes the non-uniqueness of a state–space model, outperforms the classic sequential quadratic programming method in terms of robustness and convergence properties. The method is also successfully applied to real experimental data of a plane frame structure.

System identification

MIMO

Mechanical systems

State–space models

Constraints

Optimization problems

Författare

Per Sjövall

Dynamik

Tomas McKelvey

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Thomas Abrahamsson

Dynamik

Automatica

0005-1098 (ISSN)

Vol. 42 9 1539 - 1546

Ämneskategorier

Beräkningsmatematik

Annan materialteknik

DOI

10.1016/j.automatica.2006.04.021