Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/802902

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Title
Virtual closed loop identification: a generalized tool for identification in closed loop
Author/Creator
Agüero, Juan C.;  Goodwin, Graham C.;  Van den Hof , Paul M. J.
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
In this paper we propose a virtual closed loop model parameterization to perform system identification. This parameterization is designed to achieve specific goals. We show that the method includes, as special cases, known methods for closed loop identification and also offers additional flexibility. We analyze the ramifications of the new tailor-made parameterization for systems operating in closed loop. The approach exploits a property of Box-Jenkins models in order to minimize the bias arising from feedback and noise model mismatch.
Relation
47th IEEE Conference on Decision and Control (CDC 2008). Proceedings of the 47th IEEE Conference on Decision and Control (Cancun, Mexico 9-11 December, 2008) p. 1968-1973
Publisher Link
http://dx.doi.org/10.1109/CDC.2008.4738984
Date
2008
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Keyword(s)
closed loop identification;  Box-Jenkins models;  parameterization
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/802902
Identifier
ISBN:9781424431243
Reviewed
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Subject
"Virtual closed loop identification: a generalized tool for identification in closed loop"
 
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