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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F07%3A63505806%21RIV11-GA0-28140___
rdf:type
n18:Vysledek skos:Concept
dcterms:description
This paper investigates usability of model predictive control (MPC) approach in the area of control of nonlinear systems. A self-tuning predictive controller is introduced and investigated. The controller integrates online identification of an ARX model of a controlled system and a predictive control synthesis on base of the identified model. Various control requirements can be fulfilled by tuning controller?s parameters. Both simulation and real-time testing have been performed and are discussed in the paper. The simulation testing was performed in the MATLAB / Simulink environment while the real-time testing has been carried out by the control of nonlinear laboratory models. This paper investigates usability of model predictive control (MPC) approach in the area of control of nonlinear systems. A self-tuning predictive controller is introduced and investigated. The controller integrates online identification of an ARX model of a controlled system and a predictive control synthesis on base of the identified model. Various control requirements can be fulfilled by tuning controller?s parameters. Both simulation and real-time testing have been performed and are discussed in the paper. The simulation testing was performed in the MATLAB / Simulink environment while the real-time testing has been carried out by the control of nonlinear laboratory models.
dcterms:title
Self-Tuning Predictive Control of Nonlinear Systems Self-Tuning Predictive Control of Nonlinear Systems
skos:prefLabel
Self-Tuning Predictive Control of Nonlinear Systems Self-Tuning Predictive Control of Nonlinear Systems
skos:notation
RIV/70883521:28140/07:63505806!RIV11-GA0-28140___
n3:aktivita
n15:P
n3:aktivity
P(1M0567), P(GP102/06/P286)
n3:dodaniDat
n11:2011
n3:domaciTvurceVysledku
n12:1487965 n12:1846787 n12:4869818
n3:druhVysledku
n16:D
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
449336
n3:idVysledku
RIV/70883521:28140/07:63505806
n3:jazykVysledku
n21:eng
n3:klicovaSlova
Self-tuning control; model predictive control; on-line identification; ARX model; exponential forgetting; adaptive directional forgetting.
n3:klicoveSlovo
n6:ARX%20model n6:Self-tuning%20control n6:on-line%20identification n6:adaptive%20directional%20forgetting. n6:model%20predictive%20control n6:exponential%20forgetting
n3:kontrolniKodProRIV
[54EF3CBE5417]
n3:mistoKonaniAkce
Innsbruck
n3:mistoVydani
Calgary
n3:nazevZdroje
Proceedings of the 26th IASTED International Conference on Modelling, Identification and Control
n3:obor
n4:BC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n7:GP102%2F06%2FP286 n7:1M0567
n3:rokUplatneniVysledku
n11:2007
n3:tvurceVysledku
Bobál, Vladimír Chalupa, Petr Novák, Jakub
n3:typAkce
n13:WRD
n3:zahajeniAkce
2007-01-01+01:00
s:numberOfPages
6
n9:hasPublisher
IASTED
n20:isbn
978-0-88986-633-1
n8:organizacniJednotka
28140