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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F05%3APU54198%21RIV06-GA0-26220___
rdf:type
skos:Concept n21:Vysledek
dcterms:description
This paper presents solution of constrained Generalized Predictive Control (GPC) with autoregressive model based on neural network. Neural model is able to observe system changes and adapt itself. Algorithm was implemented in MATLAB-Simulink with aspect of future implementation to Programmable Logic Controller (PLC) B&R. The usage possibilities of this approach were tested on mathematical and physical models in soft-real-time realization. Constrained GPC algorithm was compared with classical PSD controoller and advantages and disadvantages of predictive control are shown. Prediktivní řízení je jedna z metod moderního řízení, která nám umožní optimalizovat akční zásah podle daných kritérií a daných omezení. Základem prediktivního regulátoru je model procesu. V článku je uvedeno možné použití neuronové sítě jako modelu. Použitá neuronová síť je učena %22on-line%22, čímž získáváme adaptivní prediktivní regulátor. This paper presents solution of constrained Generalized Predictive Control (GPC) with autoregressive model based on neural network. Neural model is able to observe system changes and adapt itself. Algorithm was implemented in MATLAB-Simulink with aspect of future implementation to Programmable Logic Controller (PLC) B&R. The usage possibilities of this approach were tested on mathematical and physical models in soft-real-time realization. Constrained GPC algorithm was compared with classical PSD controoller and advantages and disadvantages of predictive control are shown.
dcterms:title
Adaptive Constrained Generalized Predictive Control Based on Neural Network Adaptive Constrained Generalized Predictive Control Based on Neural Network Adaptivní zobecněné prediktivní řízení s omezením, využívající neuronový model
skos:prefLabel
Adaptivní zobecněné prediktivní řízení s omezením, využívající neuronový model Adaptive Constrained Generalized Predictive Control Based on Neural Network Adaptive Constrained Generalized Predictive Control Based on Neural Network
skos:notation
RIV/00216305:26220/05:PU54198!RIV06-GA0-26220___
n4:strany
51-55
n4:aktivita
n14:P
n4:aktivity
P(GA102/05/0663)
n4:dodaniDat
n18:2006
n4:domaciTvurceVysledku
n12:7586388
n4:druhVysledku
n7:D
n4:duvernostUdaju
n20:S
n4:entitaPredkladatele
n11:predkladatel
n4:idSjednocenehoVysledku
511359
n4:idVysledku
RIV/00216305:26220/05:PU54198
n4:jazykVysledku
n10:eng
n4:klicovaSlova
predictive, MPC, GPC, neural network, adaptive
n4:klicoveSlovo
n6:neural%20network n6:adaptive n6:GPC n6:predictive n6:MPC
n4:kontrolniKodProRIV
[EB0118D9B9B4]
n4:mistoKonaniAkce
Brno
n4:mistoVydani
Brno
n4:nazevZdroje
Proceedings of the 11th conference student EEICT 2005
n4:obor
n15:JB
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:projekt
n16:GA102%2F05%2F0663
n4:rokUplatneniVysledku
n18:2005
n4:tvurceVysledku
Nepevný, Petr
n4:typAkce
n5:CST
n4:zahajeniAkce
2005-04-28+02:00
s:numberOfPages
5
n13:hasPublisher
Ing. Zdeněk Novotný CSc.
n8:isbn
80-214-2889-9
n17:organizacniJednotka
26220