About: From Linear to Nonlinear Model Predictive Control of a Building

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. (en)
Title	From Linear to Nonlinear Model Predictive Control of a Building From Linear to Nonlinear Model Predictive Control of a Building (en)
skos:prefLabel	From Linear to Nonlinear Model Predictive Control of a Building From Linear to Nonlinear Model Predictive Control of a Building (en)
skos:notation	RIV/67985556:_____/14:00431252!RIV15-GA0-67985556
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(GA13-20433S), P(GC13-12726J)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Čelikovský, Sergej
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	17558
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/14:00431252
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Predictive control; adaptive control; recursive identification (en)
http://linked.open.../riv/klicoveSlovo	recursive identification Predictive control adaptive control
http://linked.open...ontrolniKodProRIV	[BE31959175D6]
http://linked.open...v/mistoKonaniAkce	Cape Town
http://linked.open...i/riv/mistoVydani	Cape Town
http://linked.open...i/riv/nazevZdroje	Proceedings of the 19th IFAC World Congress, 2014
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Unified framework for multi-criteria identification, control and fault detection Analysis and control of globally decomposed strongly nonlinear state space dynamical models with complex interactions of their components
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Čelikovský, Sergej Pčolka, M. Šebek, M. Robinett, R. Žáčeková, E.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-08-24 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IFAC
https://schema.org/isbn	978-3-902823-62-5

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