Data driven predictive control based on OBF model structures

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

5 Citaten (Scopus)
2 Downloads (Pure)

Samenvatting

This paper presents a concept of an adaptive model predictive control (MPC) scheme based on a flexible predictor model that utilizes orthonormal basis functions (OBFs). This model structure offers a trade-off between adaptation of the model accuracy in terms of the expansion coefficients and the dynamical structure in terms of the basis functions. We show that this adaptation can maintain desirable control performance. Moreover, since OBF model structures can be seen as a generalization of finite impulse response (FIR) model structures, the incorporation of this scheme in FIR-based MPC is rather straightforward.
Originele taal-2Engels
Titel54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's3026-3031
ISBN van elektronische versie978-1-4799-7885-4
ISBN van geprinte versie978-1-4799-7884-7
DOI's
StatusGepubliceerd - dec 2015
Evenement54th IEEE Conference on Decision and Control (CDC 2015) - "Osaka International Convention Center", Osaka, Japan
Duur: 15 dec 201518 dec 2015
Congresnummer: 54
http://www.cdc2015.ctrl.titech.ac.jp/

Congres

Congres54th IEEE Conference on Decision and Control (CDC 2015)
Verkorte titelCDC 2015
LandJapan
StadOsaka
Periode15/12/1518/12/15
Anderthe 54th IEEE Conference on Decision and Control
Internet adres

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