Constrained state-space system identification with application to structural dynamics |
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Authors: | Per Sjövall [Author Vitae] Tomas McKelvey [Author Vitae] |
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Affiliation: | a Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden b Department of Signals and Systems, Chalmers University of Technology, SE-412 96 Göteborg, Sweden |
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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. |
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Keywords: | System identification State-space models Mechanical systems MIMO Constraints Optimization problems |
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