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Statements

Subject Item
n2:RIV%2F70883521%3A28610%2F13%3A43870047%21RIV14-MSM-28610___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
This paper is focused on an application of a self - tuning predictive controller for real - time control of a coupled drives apparatus laboratory model, which models a multivariable non-linear system. The controller integrates an on - line identification of an ARX model of a controlled system and a predictive control synthesis on the basis of the identified parameters. The model parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The predictive controllers design is based on a multivariable CARIMA model. Results of real-time experiments are also included. This paper is focused on an application of a self - tuning predictive controller for real - time control of a coupled drives apparatus laboratory model, which models a multivariable non-linear system. The controller integrates an on - line identification of an ARX model of a controlled system and a predictive control synthesis on the basis of the identified parameters. The model parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The predictive controllers design is based on a multivariable CARIMA model. Results of real-time experiments are also included.
dcterms:title
Self-tuning predictive control of a coupled drives process Self-tuning predictive control of a coupled drives process
skos:prefLabel
Self-tuning predictive control of a coupled drives process Self-tuning predictive control of a coupled drives process
skos:notation
RIV/70883521:28610/13:43870047!RIV14-MSM-28610___
n13:predkladatel
n15:orjk%3A28610
n3:aktivita
n11:V
n3:aktivity
V
n3:cisloPeriodika
10
n3:dodaniDat
n4:2014
n3:domaciTvurceVysledku
n7:1846787
n3:druhVysledku
n8:J
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
104573
n3:idVysledku
RIV/70883521:28610/13:43870047
n3:jazykVysledku
n6:eng
n3:klicovaSlova
Recursive identification; Predictive control; Nonlinear systems; Multivariable systems; Adaptive control
n3:klicoveSlovo
n10:Nonlinear%20systems n10:Multivariable%20systems n10:Predictive%20control n10:Adaptive%20control n10:Recursive%20identification
n3:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n3:kontrolniKodProRIV
[88DCEDE4FCA1]
n3:nazevZdroje
International Journal of Mathematical Models and Methods in Applied Sciences
n3:obor
n16:BC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n4:2013
n3:svazekPeriodika
7
n3:tvurceVysledku
Kubalčík, Marek Bobál, Vladimír
s:issn
1998-0140
s:numberOfPages
8
n18:organizacniJednotka
28610