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Description
  • V článku jsou srovnávány dva přístupy k řízení nelineárních systémů. První metoda využívá prediktivního modelu vytvořeného pomocí umělé neuronové sítě. Zatímco druhá metoda je založena na použití STC regulátorů. Obě metody jsou aplikovány na řízení reálného systému DTS 200. (cs)
  • Generally the artificial neural networks (ANN) are regarded as highly computational demanding method. The usage of ANN in model predictive control as an adaptive predictor is mostly impossible. The aim of this paper is to present and compare one possible way how to reduce computational costs of adaptive predictors based on artificial neural networks. This paper presents real-time system control by two adaptive kontrol methods. The first method is based on the model predictive method with adaptive artificial neural network as a predictor. This artificial neural network offers interesting solution of the computation time problem while using artificial neural network as an adaptive (online) predictor. The second method is established on self-tuning approach. Both these methods are applied to a problem of control liquid level in interconnected tanks. Real-time experiments are performed using Amira DTS200 ? Three Tank System. This system is characterized by non-linear behavior
  • Generally the artificial neural networks (ANN) are regarded as highly computational demanding method. The usage of ANN in model predictive control as an adaptive predictor is mostly impossible. The aim of this paper is to present and compare one possible way how to reduce computational costs of adaptive predictors based on artificial neural networks. This paper presents real-time system control by two adaptive kontrol methods. The first method is based on the model predictive method with adaptive artificial neural network as a predictor. This artificial neural network offers interesting solution of the computation time problem while using artificial neural network as an adaptive (online) predictor. The second method is established on self-tuning approach. Both these methods are applied to a problem of control liquid level in interconnected tanks. Real-time experiments are performed using Amira DTS200 ? Three Tank System. This system is characterized by non-linear behavior (en)
Title
  • Two Adaptive Approaches of Nonlinear System Control
  • Two Adaptive Approaches of Nonlinear System Control (en)
  • Dva adaptivní přístupy řízení nelineárních systémů (cs)
skos:prefLabel
  • Two Adaptive Approaches of Nonlinear System Control
  • Two Adaptive Approaches of Nonlinear System Control (en)
  • Dva adaptivní přístupy řízení nelineárních systémů (cs)
skos:notation
  • RIV/70883521:28110/08:63507416!RIV09-MSM-28110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • 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
  • 400929
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28110/08:63507416
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • adaptivní řízení; reálné systémy; umělé neuronové sítě; prediktivní řízení; samočinně se nastavující regulátory (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3E5254D85C77]
http://linked.open...v/mistoKonaniAkce
  • Malta, St. Julians
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 3rd International Symposium on Communications, control and Signal Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Chalupa, Petr
  • 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
  • Institute for Electrical and Electronic Engineers, Inc.
https://schema.org/isbn
  • 978-1-4244-1688-2
http://localhost/t...ganizacniJednotka
  • 28110
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