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  • This paper describes one of the advanced control algorithms for control actions and output error optimization within a time range, especially Model Predictive Control (MPC). Control actions are optimized for the following time instant. A model is used to predict the future behaviour. The model is obtained by using Neural Network. First, the control algorithm was implemented in MATLAB/Simulink and tested on mathematical models. After that it was implemented in the Programmable Logical Controller (PLC) B&R and tested on a physical model.
  • This paper describes one of the advanced control algorithms for control actions and output error optimization within a time range, especially Model Predictive Control (MPC). Control actions are optimized for the following time instant. A model is used to predict the future behaviour. The model is obtained by using Neural Network. First, the control algorithm was implemented in MATLAB/Simulink and tested on mathematical models. After that it was implemented in the Programmable Logical Controller (PLC) B&R and tested on a physical model. (en)
  • Tento článek popisuje jeden z pokročilých řídicích algoritmů, který optimalizuje akční zásah a odchylku řízení na určitém časovém horizontu – Prediktivní regulátor s modelem. Model, který získaný pomocí neuronové sítě, je použitý k predikci budoucího chování systému. Řídicí algoritmus je nejprve implementovaný v simulačním prostředí MATLAB/Simulink a testován na simulačním modelu. Poté je řídicí algoritmus implementován do PLC B&R a testován na fyzikálním modelu. (cs)
Title
  • Generalized Predictive Control: Application to a Physical Model
  • Generalized Predictive Control: Application to a Physical Model (en)
  • Zobecněné prediktivní řízení: Aplikace na fyzikálním modelu (cs)
skos:prefLabel
  • Generalized Predictive Control: Application to a Physical Model
  • Generalized Predictive Control: Application to a Physical Model (en)
  • Zobecněné prediktivní řízení: Aplikace na fyzikálním modelu (cs)
skos:notation
  • RIV/00216305:26220/07:PU67929!RIV07-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 275-279
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/06/1132), Z(MSM0021630529)
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
  • 423062
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/07:PU67929
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Generalized Predictive Control, Identification, Neural Networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [53250D3B3C08]
http://linked.open...v/mistoKonaniAkce
  • Uherské Hradiště
http://linked.open...i/riv/mistoVydani
  • NEUVEDEN
http://linked.open...i/riv/nazevZdroje
  • ICSC 2007
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
  • Pivoňka, Petr
  • Mikšánek, Vojtěch
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Evropský polytechnický institut
https://schema.org/isbn
  • 80-7314-108-6
http://localhost/t...ganizacniJednotka
  • 26220
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