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Model Predictive Control oriented experiment design for system identification: A graph theoretical approach
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0003-0283-5717
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: 0000-0002-1927-1690
2017 (English)In: Journal of Process Control, ISSN 0959-1524, E-ISSN 1873-2771, Vol. 52, 75-84 p.Article in journal (Refereed) Published
Abstract [en]

We present a new approach to Model Predictive Control (MPC) oriented experiment design for the identification of systems operating in closed-loop. The method considers the design of an experiment by minimizing the experimental cost, subject to probabilistic bounds on the input and output signals due to physical limitations of actuators, and quality constraints on the identified model. The excitation is done by intentionally adding a disturbance to the loop. We then design the external excitation to achieve the minimum experimental effort while we are also taking care of the tracking performance of MPC. The stability of the closed-loop system is guaranteed by employing robust MPC during the experiment. The problem is then defined as an optimization problem. However, the aforementioned constraints result in a non-convex optimization which is relaxed by using results from graph theory. The proposed technique is evaluated through a numerical example showing that it is an attractive alternative for closed-loop experiment design.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2017. Vol. 52, 75-84 p.
Keyword [en]
Closed-loop identification, Optimal input design, System identification, Model Predictive Control, Constrained systems
National Category
Chemical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-207702DOI: 10.1016/j.jprocont.2017.02.001ISI: 000399849400008ScopusID: 2-s2.0-85013678020OAI: oai:DiVA.org:kth-207702DiVA: diva2:1103621
Note

QC 20170530

Available from: 2017-05-30 Created: 2017-05-30 Last updated: 2017-05-30Bibliographically approved

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Ebadat, AfroozValenzuela, Patricio EstebanRojas, Cristian R.Wahlberg, Bo
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CiteExportLink to record
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Citation style
  • apa
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