On Optimal Input Design for Model Predictive Control
2011 (English)In: Proceedings of the 49th IEEE Conference on Decision and Control, IEEE conference proceedings, 2011, 805-810 p.Conference paper (Refereed)
This paper considers a method for optimal inputdesign in system identification for control. The approachaddresses model predictive control (MPC). The objective ofthe framework is to provide the user with a model whichguarantees that a specified control performance is achieved,with a given probability. We see that, even though the systemis nonlinear, using linear theory in the input design can reducethe experimental effort. The method is illustrated in a minimumpower input signal design in system identification of a watertank system.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2011. 805-810 p.
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-73368DOI: 10.1109/CDC.2011.6161156ISI: 000303506201064ScopusID: 2-s2.0-84860655062OAI: oai:DiVA.org:kth-73368DiVA: diva2:488825
49th IEEE Conference on Decision and Control. Atlanta, December 15-17, 2010
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QC 201204102012-08-162012-02-022013-07-04Bibliographically approved