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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F05%3APU50469%21RIV06-MSM-26220___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
Článek popisuje implementaci prediktivního regulátoru s modelem na bázi neuronových sítí. 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.
dcterms:title
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:prefLabel
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:notation
RIV/00216305:26220/05:PU50469!RIV06-MSM-26220___
n3:strany
385-389
n3:aktivita
n18:Z
n3:aktivity
Z(MSM0021630503)
n3:cisloPeriodika
4
n3:dodaniDat
n4:2006
n3:domaciTvurceVysledku
n16:9304010 n16:7586388
n3:druhVysledku
n9:J
n3:duvernostUdaju
n5:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
522504
n3:idVysledku
RIV/00216305:26220/05:PU50469
n3:jazykVysledku
n14:eng
n3:klicovaSlova
GPC, MPC, predictive, control, adaptive model, Neural Networks
n3:klicoveSlovo
n7:predictive n7:GPC n7:adaptive%20model n7:Neural%20Networks n7:MPC n7:control
n3:kodStatuVydavatele
GR - Řecká republika
n3:kontrolniKodProRIV
[21847800F87D]
n3:nazevZdroje
WSEAS Transactions on Circuits
n3:obor
n10:BC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n4:2005
n3:svazekPeriodika
4
n3:tvurceVysledku
Nepevný, Petr Pivoňka, Petr
n3:zamer
n8:MSM0021630503
s:issn
1109-2734
s:numberOfPages
5
n11:organizacniJednotka
26220