About: Prediction and predictive control using feedforward neural network     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Predictive control using artificial neural network with algorithm backpropagation is presented in the paper. This is the %22learning teacher%22 type of the ANN (artifiicial neural network). Pairs of corresponding values to each other are put at the inputs and outputs in the training phase. Then, the information %22overflows%22 from inputs to outputs and back until it gains the minimal global error per the number of epochs. After teaching, the ANN is able to predict the output value perfectly although the disturbance signal is presented. Neural network is by this way used as nonlinear substitution for very complex systems and controlled output value is predicted. This value is then used for PSD controller adaptive control. The results are presented as simulatedexamples in the environment of MATLAB and Simulink programs.
  • Predictive control using artificial neural network with algorithm backpropagation is presented in the paper. This is the %22learning teacher%22 type of the ANN (artifiicial neural network). Pairs of corresponding values to each other are put at the inputs and outputs in the training phase. Then, the information %22overflows%22 from inputs to outputs and back until it gains the minimal global error per the number of epochs. After teaching, the ANN is able to predict the output value perfectly although the disturbance signal is presented. Neural network is by this way used as nonlinear substitution for very complex systems and controlled output value is predicted. This value is then used for PSD controller adaptive control. The results are presented as simulatedexamples in the environment of MATLAB and Simulink programs. (en)
Title
  • Prediction and predictive control using feedforward neural network
  • Prediction and predictive control using feedforward neural network (en)
skos:prefLabel
  • Prediction and predictive control using feedforward neural network
  • Prediction and predictive control using feedforward neural network (en)
skos:notation
  • RIV/70883521:28110/01:00000044!RIV/2002/GA0/281102/N
http://linked.open.../vavai/riv/strany
  • 1;6
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/00/0526), P(GA102/99/1292), Z(MSM 281100001)
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
  • 692368
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28110/01:00000044
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • predictive control, neural networks, predictor, PSD controller (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C62193B9020B]
http://linked.open...v/mistoKonaniAkce
  • Zlín
http://linked.open...i/riv/mistoVydani
  • Zlín
http://linked.open...i/riv/nazevZdroje
  • Proc. 4th International Conference on Prediction and Nonlinear Dynamics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bobál, Vladimír
  • Janota, 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
  • Univerzita Tomáše Bati ve Zlíně
https://schema.org/isbn
  • 80-7318-030-8
http://localhost/t...ganizacniJednotka
  • 28110
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 9 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software