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Statements

Subject Item
n2:RIV%2F70883521%3A28610%2F11%3A43865603%21RIV12-MSM-28610___
rdf:type
skos:Concept n11:Vysledek
dcterms:description
Model Based Predictive Control (MBPC) or only Predictive Control is one of the control methods which have developed considerably over a few past years. It is mostly based on discrete models of controlled systems. Model of a controlled system is used for computation of predictions of the systems output on the basis of past inputs, outputs and states and designed sequence of future control increments. This paper is focused in comparison of various approaches to computation of multi-step-ahead predictions using a multivariable input - output model. Computational aspects of derivation of predictions can be limiting especially in adaptive predictive control. Many processes are affected by external disturbances that can be measured. Inclusion of measurable disturbances into prediction equations for different approaches was also elaborated. Model Based Predictive Control (MBPC) or only Predictive Control is one of the control methods which have developed considerably over a few past years. It is mostly based on discrete models of controlled systems. Model of a controlled system is used for computation of predictions of the systems output on the basis of past inputs, outputs and states and designed sequence of future control increments. This paper is focused in comparison of various approaches to computation of multi-step-ahead predictions using a multivariable input - output model. Computational aspects of derivation of predictions can be limiting especially in adaptive predictive control. Many processes are affected by external disturbances that can be measured. Inclusion of measurable disturbances into prediction equations for different approaches was also elaborated.
dcterms:title
Techniques for predictor design in multivariable predictive control Techniques for predictor design in multivariable predictive control
skos:prefLabel
Techniques for predictor design in multivariable predictive control Techniques for predictor design in multivariable predictive control
skos:notation
RIV/70883521:28610/11:43865603!RIV12-MSM-28610___
n11:predkladatel
n12:orjk%3A28610
n3:aktivita
n17:Z
n3:aktivity
Z(MSM7088352101)
n3:cisloPeriodika
9
n3:dodaniDat
n18:2012
n3:domaciTvurceVysledku
n15:1846787
n3:druhVysledku
n13:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
234355
n3:idVysledku
RIV/70883521:28610/11:43865603
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Predictive control; Multivariable systems; Multi-step-ahead prediction; Diophantine equations; CARIMA model
n3:klicoveSlovo
n6:Multivariable%20systems n6:Diophantine%20equations n6:CARIMA%20model n6:Multi-step-ahead%20prediction n6:Predictive%20control
n3:kodStatuVydavatele
GR - Řecká republika
n3:kontrolniKodProRIV
[81B4270D483E]
n3:nazevZdroje
WSEAS Transactions on Systems and Control
n3:obor
n9:BC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n18:2011
n3:svazekPeriodika
6
n3:tvurceVysledku
Kubalčík, Marek Bobál, Vladimír
n3:zamer
n4:MSM7088352101
s:issn
1991-8763
s:numberOfPages
12
n5:organizacniJednotka
28610