Constrained state–space system identification with application to structural dynamics
Paper in proceedings, 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


Tomas McKelvey

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

Thomas Abrahamsson


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


Subject Categories

Computational Mathematics

Other Materials Engineering