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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F09%3A63508773%21RIV10-GA0-28140___
rdf:type
skos:Concept n21:Vysledek
dcterms:description
The paper deals with the problem of modelling nonlinear processes using the Local Model Network (LMN). The idea is based on development of the local linear models for the whole operating range of the controlled process. The nonlinear plant is then approximated by a set of locally valid submodels, which are smoothly connected using the validity function. For saving the computational load, linear model is obtained by interpolating these linear models at each sample instant and then used in GPC framework to calculate the future behaviour of the process. It avoids the time consuming quadratic optimization calculation, which is normally necessary in nonlinear predictive control. The proposed approach is applied to a simulated nonlinear pH neutralization process. The paper deals with the problem of modelling nonlinear processes using the Local Model Network (LMN). The idea is based on development of the local linear models for the whole operating range of the controlled process. The nonlinear plant is then approximated by a set of locally valid submodels, which are smoothly connected using the validity function. For saving the computational load, linear model is obtained by interpolating these linear models at each sample instant and then used in GPC framework to calculate the future behaviour of the process. It avoids the time consuming quadratic optimization calculation, which is normally necessary in nonlinear predictive control. The proposed approach is applied to a simulated nonlinear pH neutralization process.
dcterms:title
Control of pH neutralization process using multiple models and predictive control Control of pH neutralization process using multiple models and predictive control
skos:prefLabel
Control of pH neutralization process using multiple models and predictive control Control of pH neutralization process using multiple models and predictive control
skos:notation
RIV/70883521:28140/09:63508773!RIV10-GA0-28140___
n3:aktivita
n15:P
n3:aktivity
P(GP102/09/P243)
n3:dodaniDat
n13:2010
n3:domaciTvurceVysledku
n9:1846787 n9:1487965 n9:4869818
n3:druhVysledku
n8:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
308261
n3:idVysledku
RIV/70883521:28140/09:63508773
n3:jazykVysledku
n10:eng
n3:klicovaSlova
Predictive control; Multiple models; Modelling; pH neutralization
n3:klicoveSlovo
n7:Multiple%20models n7:pH%20neutralization n7:Predictive%20control n7:Modelling
n3:kontrolniKodProRIV
[F85D57880CBA]
n3:mistoKonaniAkce
Innsbruck
n3:mistoVydani
Calgary
n3:nazevZdroje
Proceeding of the 28th IASTED International Conference on Modelling, Identification and Control
n3:obor
n17:BC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n6:GP102%2F09%2FP243
n3:rokUplatneniVysledku
n13:2009
n3:tvurceVysledku
Chalupa, Petr Bobál, Vladimír Novák, Jakub
n3:typAkce
n11:WRD
n3:zahajeniAkce
2009-02-18+01:00
s:numberOfPages
6
n16:hasPublisher
ACTA Press
n14:isbn
978-0-88986-781-9
n20:organizacniJednotka
28140