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A Combined State-Space Identification Algorithm Applied to Data From a Modal Analysis Experiment on a Separation System
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1994 (English)In: Proceedings of the 33rd IEEE Conference on Decision and Control, 1994, 2286-2287 vol.3 p.Conference paper (Refereed)
Abstract [en]

This paper discusses identification of state-space models from impulse response or initial value experiments. Kung's geometrical realization algorithm is combined with classical nonlinear parametric optimization to improve the quality of the estimated state-space model. These ideas are applied on real data originating from a modal analysis experiment on a separation system. The results indicate that the parametric optimization step increases the model quality significantly compared with the initial model the realization algorithm provides.

Place, publisher, year, edition, pages
1994. 2286-2287 vol.3 p.
Keyword [en]
System identification, Modal analysis, State-space methods, Application
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-94061DOI: 10.1109/CDC.1994.411477ISBN: 0-7803-1968-0OAI: diva2:629416
33rd IEEE Conference on Decision and Control, Lake Buena Vista, FL, USA, December, 1994
Available from: 2013-06-17 Created: 2013-06-16 Last updated: 2013-07-30

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ReferencesLink to record
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