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Statements

Subject Item
n2:RIV%2F70883521%3A28610%2F13%3A43870620%21RIV14-MSM-28610___
rdf:type
skos:Concept n10:Vysledek
dcterms:description
Many processes are affected by external disturbances caused by the variation of variables that can be measured. One of the control methods which can successfully handle known measurable disturbances is predictive control. It has 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 future control actions that are to be determined. Known disturbances can be taken explicitly into account in predictive control. This paper proposes different approaches to computation of multi–step–ahead predictions incorporating known measurable disturbances into prediction equations. Simulation results are also included. Many processes are affected by external disturbances caused by the variation of variables that can be measured. One of the control methods which can successfully handle known measurable disturbances is predictive control. It has 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 future control actions that are to be determined. Known disturbances can be taken explicitly into account in predictive control. This paper proposes different approaches to computation of multi–step–ahead predictions incorporating known measurable disturbances into prediction equations. Simulation results are also included.
dcterms:title
Predictor Design in Predictive Control with Measurable Disturbances Predictor Design in Predictive Control with Measurable Disturbances
skos:prefLabel
Predictor Design in Predictive Control with Measurable Disturbances Predictor Design in Predictive Control with Measurable Disturbances
skos:notation
RIV/70883521:28610/13:43870620!RIV14-MSM-28610___
n10:predkladatel
n11:orjk%3A28610
n3:aktivita
n9:V
n3:aktivity
V
n3:dodaniDat
n8:2014
n3:domaciTvurceVysledku
n19:1846787
n3:druhVysledku
n17:D
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
98625
n3:idVysledku
RIV/70883521:28610/13:43870620
n3:jazykVysledku
n15:eng
n3:klicovaSlova
predictive control, multi-step-ahead prediction, Diophantine equations, CARIMA model, prediction, disturbance rejection
n3:klicoveSlovo
n4:CARIMA%20model n4:multi-step-ahead%20prediction n4:prediction n4:predictive%20control n4:Diophantine%20equations n4:disturbance%20rejection
n3:kontrolniKodProRIV
[93F2A53F9B8C]
n3:mistoKonaniAkce
Valencie
n3:mistoVydani
Montreux
n3:nazevZdroje
Proceedings of the 14th WSEAS International Conference on Automation & Information (ICAI ’13)
n3:obor
n7:BC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n8:2013
n3:tvurceVysledku
Kubalčík, Marek Bobál, Vladimír
n3:typAkce
n18:WRD
n3:zahajeniAkce
2013-08-06+02:00
s:issn
1790-5117
s:numberOfPages
6
n20:hasPublisher
WSEAS Press
n21:isbn
978-960-474-316-2
n12:organizacniJednotka
28610