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Description
  • 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. (cs)
  • 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.
  • 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. (en)
Title
  • Adaptive Constrained Generalized Predictive Control Based on Neural Network
  • Adaptivní zobecněné prediktivní řízení s omezením, využívající neuronový model (cs)
  • Adaptive Constrained Generalized Predictive Control Based on Neural Network (en)
skos:prefLabel
  • Adaptive Constrained Generalized Predictive Control Based on Neural Network
  • Adaptivní zobecněné prediktivní řízení s omezením, využívající neuronový model (cs)
  • Adaptive Constrained Generalized Predictive Control Based on Neural Network (en)
skos:notation
  • RIV/00216305:26220/05:PU54198!RIV06-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 51-55
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/0663)
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
  • 511359
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/05:PU54198
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • predictive, MPC, GPC, neural network, adaptive (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [EB0118D9B9B4]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 11th conference student EEICT 2005
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Nepevný, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Ing. Zdeněk Novotný CSc.
https://schema.org/isbn
  • 80-214-2889-9
http://localhost/t...ganizacniJednotka
  • 26220
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