Constrained state–space system identification with application to structural dynamics
Journal article, 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

Author

Per Sjövall

Dynamics

Tomas McKelvey

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Thomas Abrahamsson

Dynamics

Automatica

0005-1098 (ISSN)

Vol. 42 9 1539 - 1546

Subject Categories

Computational Mathematics

Other Materials Engineering

DOI

10.1016/j.automatica.2006.04.021

More information

Created

10/7/2017