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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F14%3A43872367%21RIV15-MSM-28140___
rdf:type
n16:Vysledek skos:Concept
dcterms:description
This paper introduces a controller which integrates a predictive control synthesis based on a multivariable state-space model of the controlled system and an on-line identification of an ARX model corresponding to the state-space model. The used approach then combines both the state-space and input-output models. The model parameters are recursively estimated using the recursive least squares method. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The controller was applied for real-time control of a three-tank-system laboratory model. The objective laboratory model is a two input-two output (TITO) nonlinear system. Results of real-time experiments are also included. This paper introduces a controller which integrates a predictive control synthesis based on a multivariable state-space model of the controlled system and an on-line identification of an ARX model corresponding to the state-space model. The used approach then combines both the state-space and input-output models. The model parameters are recursively estimated using the recursive least squares method. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The controller was applied for real-time control of a three-tank-system laboratory model. The objective laboratory model is a two input-two output (TITO) nonlinear system. Results of real-time experiments are also included.
dcterms:title
Adaptive Predictive Control Utilizing Both State-Space And Input-Output Models Adaptive Predictive Control Utilizing Both State-Space And Input-Output Models
skos:prefLabel
Adaptive Predictive Control Utilizing Both State-Space And Input-Output Models Adaptive Predictive Control Utilizing Both State-Space And Input-Output Models
skos:notation
RIV/70883521:28140/14:43872367!RIV15-MSM-28140___
n3:aktivita
n11:V
n3:aktivity
V
n3:dodaniDat
n13:2015
n3:domaciTvurceVysledku
n10:9316116 n10:1846787
n3:druhVysledku
n4:D
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
1604
n3:idVysledku
RIV/70883521:28140/14:43872367
n3:jazykVysledku
n19:eng
n3:klicovaSlova
Predictive control, adaptive control, three-tank-system, recursive identification, state-space model
n3:klicoveSlovo
n6:recursive%20identification n6:Predictive%20control n6:three-tank-system n6:state-space%20model n6:adaptive%20control
n3:kontrolniKodProRIV
[EF80318BF1C3]
n3:mistoKonaniAkce
Oščadnica
n3:mistoVydani
Bratislava
n3:nazevZdroje
Kybernetika a informatika ´14 (sborník abstraktů)
n3:obor
n8:BC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n13:2014
n3:tvurceVysledku
Kubalčík, Marek Bobál, Vladimír
n3:typAkce
n17:CST
n3:zahajeniAkce
2014-02-05+01:00
s:numberOfPages
6
n15:hasPublisher
Slovenská technická univerzita v Bratislave
n20:isbn
978-80-227-4122-4
n12:organizacniJednotka
28140