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Constrained state–space system identification with application to structural dynamics

Per Sjövall (Institutionen för tillämpad mekanik, Dynamik) ; Tomas McKelvey (Institutionen för signaler och system, Signalbehandling) ; Thomas Abrahamsson (Institutionen för tillämpad mekanik, Dynamik)
Automatica Vol. 42 (2006), p. 1539 – 1546.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: System identification; State–space models; Mechanical systems; MIMO; Constraints; Optimization problems

Denna post skapades 2007-06-20. Senast ändrad 2017-06-28.
CPL Pubid: 43051


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Institutioner (Chalmers)

Institutionen för tillämpad mekanik, Dynamik (1900-2017)
Institutionen för signaler och system, Signalbehandling (1900-2017)


Optimeringslära, systemteori
Övrig teknisk mekanik

Chalmers infrastruktur

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