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Description
  • The goal of this paper is to present interesting way how to model and predict nonlinear systems using recurrent neural network. This type of artificial neural networks is underestimated and marginalized. Nevertheless, it offers superior modelling features at reasonable computational costs. This contribution is focused on Elman Neural Network, two-layered recurrent neural network. The abilities of this network are presented in the nonlinear system control. The task of the controller is to control the liquid level in the second of two interconnected cylindrical tanks. The mathematical model of the real-time system was derived in order to test predictor and consequently the controller in Matlab/Simulink simulations.
  • The goal of this paper is to present interesting way how to model and predict nonlinear systems using recurrent neural network. This type of artificial neural networks is underestimated and marginalized. Nevertheless, it offers superior modelling features at reasonable computational costs. This contribution is focused on Elman Neural Network, two-layered recurrent neural network. The abilities of this network are presented in the nonlinear system control. The task of the controller is to control the liquid level in the second of two interconnected cylindrical tanks. The mathematical model of the real-time system was derived in order to test predictor and consequently the controller in Matlab/Simulink simulations. (en)
Title
  • Elman Neural Networks in Model Predictive Control
  • Elman Neural Networks in Model Predictive Control (en)
skos:prefLabel
  • Elman Neural Networks in Model Predictive Control
  • Elman Neural Networks in Model Predictive Control (en)
skos:notation
  • RIV/70883521:28110/09:63508097!RIV10-MSM-28110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP102/07/P137), Z(MSM7088352102)
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
  • 313038
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28110/09:63508097
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Model predictive control; Elman neural network; predictor (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [324403F9B164]
http://linked.open...v/mistoKonaniAkce
  • Madrid
http://linked.open...i/riv/mistoVydani
  • Madrid
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 23rd European Conference on Modelling and Simulation ECMS 2009
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
  • Sámek, David
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
  • European Council for Modelling and Simulation
https://schema.org/isbn
  • 0-9553018-8-2
http://localhost/t...ganizacniJednotka
  • 28110
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