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  • This paper deals with Model Predictive Control (MPC) – a control algorithm which optimizes control action and output error within a time horizon. A nonlinear model is obtained by using Neural Network and has to be linearized in each operating point. A model is used to predict the future behaviour. 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 deals with Model Predictive Control (MPC) – a control algorithm which optimizes control action and output error within a time horizon. A nonlinear model is obtained by using Neural Network and has to be linearized in each operating point. A model is used to predict the future behaviour. 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 zobecněné prediktivní řízení – řídicí algoritmus optimalizující akční zásah a odchylku na určitém časovém horizontu. K predikci budoucího chování systému je použitý nelineární neuronový model, který je linearizován v každém pracovním bodě. Tento řídicí algoritmus je nejprve implementován v simulačním prostředí MATLAB/Simulink a testován na matematických modelech. Poté je implementován do PLC B&R a testován na fyzikálním modelu. (cs)
Title
  • Generalized Predictive Control with Nonlinear Model
  • Zobecněné prediktivní řízení s nelineárním modelem (cs)
  • Generalized Predictive Control with Nonlinear Model (en)
skos:prefLabel
  • Generalized Predictive Control with Nonlinear Model
  • Zobecněné prediktivní řízení s nelineárním modelem (cs)
  • Generalized Predictive Control with Nonlinear Model (en)
skos:notation
  • RIV/00216305:26220/07:PU67777!RIV07-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 87-91
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/06/1132), S, 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
  • 423063
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/07:PU67777
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Predictive Control, Neural Networks, Nonlinear Model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [84AA8E59BF51]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • NEUVEDEN
http://linked.open...i/riv/nazevZdroje
  • PROCEEDINGS OF THE 13th CONFERENCE STUDENT EEICT 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
  • 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
  • Ing. Zdeněk Novotný CSc.
https://schema.org/isbn
  • 978-80-214-3409-7
http://localhost/t...ganizacniJednotka
  • 26220
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