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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F14%3A00431252%21RIV15-GA0-67985556
rdf:type
n17:Vysledek skos:Concept
dcterms:description
In the building climate control area, the linear model predictive control (LMPC)| nowadays considered a mature technique|benets from the fact that the resulting optimization task is convex (thus easily and quickly solvable). On the other hand, while nonlinear model predictive control (NMPC) using a more detailed nonlinear model of a building takes advantage of its more accurate predictions and the fact that it attacks the optimization task more directly, it requires more involved ways of solving the non-convex optimization problem. In this paper, the gap between LMPC and NMPC is bridged by introducing several variants of linear time- varying model predictive controller (LTVMPC). Making use of linear time-varying model of the controlled building, LTVMPC obtains predictions which are closer to reality than those of linear time invariant model while still keeping the optimization task convex and less computationally demanding than in the case of NMPC. The concept of LTVMPC is veried on a set of numerical experiments performed using a high delity model created in a building simulation environment and compared to the previously mentioned alternatives (LMPC and NMPC) looking at both the control performance and the computational requirements. In the building climate control area, the linear model predictive control (LMPC)| nowadays considered a mature technique|benets from the fact that the resulting optimization task is convex (thus easily and quickly solvable). On the other hand, while nonlinear model predictive control (NMPC) using a more detailed nonlinear model of a building takes advantage of its more accurate predictions and the fact that it attacks the optimization task more directly, it requires more involved ways of solving the non-convex optimization problem. In this paper, the gap between LMPC and NMPC is bridged by introducing several variants of linear time- varying model predictive controller (LTVMPC). Making use of linear time-varying model of the controlled building, LTVMPC obtains predictions which are closer to reality than those of linear time invariant model while still keeping the optimization task convex and less computationally demanding than in the case of NMPC. The concept of LTVMPC is veried on a set of numerical experiments performed using a high delity model created in a building simulation environment and compared to the previously mentioned alternatives (LMPC and NMPC) looking at both the control performance and the computational requirements.
dcterms:title
From Linear to Nonlinear Model Predictive Control of a Building From Linear to Nonlinear Model Predictive Control of a Building
skos:prefLabel
From Linear to Nonlinear Model Predictive Control of a Building From Linear to Nonlinear Model Predictive Control of a Building
skos:notation
RIV/67985556:_____/14:00431252!RIV15-GA0-67985556
n3:aktivita
n12:P n12:I
n3:aktivity
I, P(GA13-20433S), P(GC13-12726J)
n3:dodaniDat
n5:2015
n3:domaciTvurceVysledku
n15:1424181
n3:druhVysledku
n18:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
17558
n3:idVysledku
RIV/67985556:_____/14:00431252
n3:jazykVysledku
n16:eng
n3:klicovaSlova
Predictive control; adaptive control; recursive identification
n3:klicoveSlovo
n9:recursive%20identification n9:Predictive%20control n9:adaptive%20control
n3:kontrolniKodProRIV
[BE31959175D6]
n3:mistoKonaniAkce
Cape Town
n3:mistoVydani
Cape Town
n3:nazevZdroje
Proceedings of the 19th IFAC World Congress, 2014
n3:obor
n13:BC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
5
n3:projekt
n4:GA13-20433S n4:GC13-12726J
n3:rokUplatneniVysledku
n5:2014
n3:tvurceVysledku
Čelikovský, Sergej Žáčeková, E. Pčolka, M. Šebek, M. Robinett, R.
n3:typAkce
n8:WRD
n3:zahajeniAkce
2014-08-24+02:00
s:numberOfPages
6
n14:hasPublisher
IFAC
n11:isbn
978-3-902823-62-5