Constrained state–space system identification with application to structural dynamics
Paper i proceeding, 2006

Constrained identification of state-space models representing a structural dynamic systems is addressed. Based on physical insight, transfer function constraints are formulated in terms of the state-space parametrization. An 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.

optimization problems

System identification


state-space models

mechanical systems



Per Sjövall

Chalmers, Tillämpad mekanik, Dynamik

Tomas McKelvey

Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Thomas Abrahamsson

Chalmers, Tillämpad mekanik, Dynamik

Preprints of the 14th IFAC Symposium on System Identification (SYSID 2006), 29-31 March 2006, Newcastle, Australia




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