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

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

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Subject

"Virtual closed loop identification: a generalized tool for identification in closed loop"

 

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