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Description
  • Článek popisuje implementaci prediktivního regulátoru s modelem na bázi neuronových sítí. (cs)
  • 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. (en)
Title
  • Generalized Predictive Control with Adaptive Model Based on Neural Networks
  • Generalized Predictive Control with Adaptive Model Based on Neural Networks (en)
  • Zevšeobecněný prediktivní regulátor s adaptivním modelem na bázi neuronových sítí (cs)
skos:prefLabel
  • Generalized Predictive Control with Adaptive Model Based on Neural Networks
  • Generalized Predictive Control with Adaptive Model Based on Neural Networks (en)
  • Zevšeobecněný prediktivní regulátor s adaptivním modelem na bázi neuronových sítí (cs)
skos:notation
  • RIV/00216305:26220/05:PU50469!RIV06-MSM-26220___
http://linked.open.../vavai/riv/strany
  • 385-389
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021630503)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 522504
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/05:PU50469
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • GPC, MPC, predictive, control, adaptive model, Neural Networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GR - Řecká republika
http://linked.open...ontrolniKodProRIV
  • [21847800F87D]
http://linked.open...i/riv/nazevZdroje
  • WSEAS Transactions on Circuits
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 4
http://linked.open...iv/tvurceVysledku
  • Pivoňka, Petr
  • Nepevný, Petr
http://linked.open...n/vavai/riv/zamer
issn
  • 1109-2734
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
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