Brief paper: Constrained state-space system identification with application to structural dynamics

  • Authors:

  • Per Sjövall;Tomas McKelvey;Thomas Abrahamsson

  • Affiliations:

  • Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden;Department of Signals and Systems, Chalmers University of Technology, SE-412 96 Göteborg, Sweden;Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2006

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Abstract

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.