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Description
  • Článek porovnává tři identifikační metody pro odhad parametrů dynamických systému s ohledem na požadavek krátké periody vzorkování. (cs)
  • In this paper ability of three identification methods to parameter estimation of the dynamic plant with great ratio of its time constant to sampling periods is compared. We concentrate our attention on dealing with adverse effects that work on real-time identification of process, especially quantization. It is shown, that a neural network applied to on-line identification process produces more stable solution in the rapid sampling domain. Taking advantage of this result, we propose here an adaptive conttroller with a neural network as on-line estimator. Simple heuristic synthesis based on modified Ziegler-Nichols open loop method (Z-N 1) are discussed, that deals with bad-estimated model of a plant and gives numerically stable parameters of the PID discrete controller.
  • In this paper ability of three identification methods to parameter estimation of the dynamic plant with great ratio of its time constant to sampling periods is compared. We concentrate our attention on dealing with adverse effects that work on real-time identification of process, especially quantization. It is shown, that a neural network applied to on-line identification process produces more stable solution in the rapid sampling domain. Taking advantage of this result, we propose here an adaptive conttroller with a neural network as on-line estimator. Simple heuristic synthesis based on modified Ziegler-Nichols open loop method (Z-N 1) are discussed, that deals with bad-estimated model of a plant and gives numerically stable parameters of the PID discrete controller. (en)
Title
  • Adaptive Controller with Identification Based on Neural Network for Systems with Rapid Sampling Rates
  • Adaptive Controller with Identification Based on Neural Network for Systems with Rapid Sampling Rates (en)
  • Adaptivní regulátor s identifikací neuronovou sítí pro systémy s krátkou periodou vzorkování (cs)
skos:prefLabel
  • Adaptive Controller with Identification Based on Neural Network for Systems with Rapid Sampling Rates
  • Adaptive Controller with Identification Based on Neural Network for Systems with Rapid Sampling Rates (en)
  • Adaptivní regulátor s identifikací neuronovou sítí pro systémy s krátkou periodou vzorkování (cs)
skos:notation
  • RIV/00216305:26220/05:PU50365!RIV06-MSM-26220___
http://linked.open.../vavai/riv/strany
  • 1-4
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021630503)
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
  • 511375
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/05:PU50365
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Rapid Sampling, Quantization, Neural Network, Training Set, Levenberg-Marquardt Minimization, Discrete PID Controller, RLS Identification Method (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3FA06EA57201]
http://linked.open...v/mistoKonaniAkce
  • Lisabon
http://linked.open...i/riv/mistoVydani
  • Lisabon, Portugalsko
http://linked.open...i/riv/nazevZdroje
  • WSEAS International Conferences NN'05, FS'05,EC'05
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pivoňka, Petr
  • Veleba, Václav
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
  • WSEAS
https://schema.org/isbn
  • 960-8457-24-6
http://localhost/t...ganizacniJednotka
  • 26220
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