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Applications oriented input design for closed-loop system identification: a graph-theory approach
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-8524-0649
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0003-0355-2663
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-9368-3079
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2014 (English)In: Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on, IEEE conference proceedings, 2014, 4125-4130 p.Conference paper, Published paper (Refereed)
Abstract [en]

A new approach to experimental design for identification of closed-loop models is presented. The method considers the design of an experiment by minimizing experimental cost, subject to probabilistic bounds on the input and output signals, and quality constraints on the identified model. The input and output bounds are common in many industrial processes due to physical limitations of actuators. The aforementioned constraints make the problem non-convex. By assuming that the experiment is a realization of a stationary process with finite memory and finite alphabet, we use results from graph-theory to relax the problem. The key feature of this approach is that the problem becomes convex even for non-linear feedback systems. A numerical example shows that the proposed technique is an attractive alternative for closed-loop system identification.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 4125-4130 p.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-159214DOI: 10.1109/CDC.2014.7040031ISBN: 978-1-4799-7746-8 (print)OAI: oai:DiVA.org:kth-159214DiVA: diva2:783336
Conference
IEEE conference on Decision and Control,December 15-17, 2014, Los Angeles, USA
Funder
Swedish Research CouncilEU, European Research CouncilEU, FP7, Seventh Framework Programme
Note

QC 20150210

Available from: 2015-01-26 Created: 2015-01-26 Last updated: 2015-04-16Bibliographically approved

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fulltext(246 kB)67 downloads
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Rojas, Cristian R.Hjalmarsson, HåkanWahlberg, Bo

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