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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F05%3APU50468%21RIV06-MSM-26220___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
Generalized Predictive Control (GPC) is well known control algorithm. If we put together predictive strategy of GPC and Neural Networks model, which is adaptive, then we obtain new controller with many advantages. Neural model is able to observe system changes and adapt itself, therefore regulator based on this model is adaptive. Algorithm was implemented in MATLAB-Simulink with aspect of future implementation to Programmable Logic Controller (PLC) B&R. It was tested on mathematical and physical models in soft-real-time realization. Predictive controller in comparison with classical discrete PID controller and it's advantages and disadvantages are shown. Generalized Predictive Control (GPC) is well known control algorithm. If we put together predictive strategy of GPC and Neural Networks model, which is adaptive, then we obtain new controller with many advantages. Neural model is able to observe system changes and adapt itself, therefore regulator based on this model is adaptive. Algorithm was implemented in MATLAB-Simulink with aspect of future implementation to Programmable Logic Controller (PLC) B&R. It was tested on mathematical and physical models in soft-real-time realization. Predictive controller in comparison with classical discrete PID controller and it's advantages and disadvantages are shown. Článek popisuje implementaci prediktivního regulátoru s modelem na bázi neuronových sítí.
dcterms:title
Generalized Predictive Control with Adaptive Model Based on Neural Networks Generalized Predictive Control with Adaptive Model Based on Neural Networks Zevšeobecněný prediktivní regulátor s adaptivním modelem na bázi neuronových sítí
skos:prefLabel
Generalized Predictive Control with Adaptive Model Based on Neural Networks Zevšeobecněný prediktivní regulátor s adaptivním modelem na bázi neuronových sítí Generalized Predictive Control with Adaptive Model Based on Neural Networks
skos:notation
RIV/00216305:26220/05:PU50468!RIV06-MSM-26220___
n4:strany
1-5
n4:aktivita
n10:Z
n4:aktivity
Z(MSM0021630503)
n4:dodaniDat
n13:2006
n4:domaciTvurceVysledku
n16:7586388 n16:9304010
n4:druhVysledku
n19:D
n4:duvernostUdaju
n11:S
n4:entitaPredkladatele
n15:predkladatel
n4:idSjednocenehoVysledku
522503
n4:idVysledku
RIV/00216305:26220/05:PU50468
n4:jazykVysledku
n17:eng
n4:klicovaSlova
GPC, MPC, predictive, control, adaptive model, Neural Networks
n4:klicoveSlovo
n9:adaptive%20model n9:Neural%20Networks n9:GPC n9:control n9:MPC n9:predictive
n4:kontrolniKodProRIV
[2F721B610CC4]
n4:mistoKonaniAkce
Lisabon
n4:mistoVydani
Lisabon
n4:nazevZdroje
Proceedings of the WSEAS Conferences NN'05, FS'05, EC'05
n4:obor
n14:BC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:rokUplatneniVysledku
n13:2005
n4:tvurceVysledku
Nepevný, Petr Pivoňka, Petr
n4:typAkce
n21:WRD
n4:zahajeniAkce
2005-06-16+02:00
n4:zamer
n20:MSM0021630503
s:numberOfPages
5
n18:hasPublisher
WSEAS
n5:isbn
960-8457-24-6
n6:organizacniJednotka
26220