About: Generalized Predictive Control with Adaptive Model Based on Neural Networks     Goto   Sponge   Distinct   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
  • Článek popisuje implementaci prediktivního regulátoru s modelem na bázi neuronových sítí. (cs)
  • Generalized Predictive Control (GPC) is well known control algorithm. If we put together predictive strategy of GPC and Neural Networks model, which is adaptive, then we obtain new controller with many advantages. Neural model is able to observe system changes and adapt itself, therefore regulator based on this model is adaptive. Algorithm was implemented in MATLAB-Simulink with aspect of future implementation to Programmable Logic Controller (PLC) B&R. It was tested on mathematical and physical models in soft-real-time realization. Predictive controller in comparison with classical discrete PID controller and it's advantages and disadvantages are shown.
  • Generalized Predictive Control (GPC) is well known control algorithm. If we put together predictive strategy of GPC and Neural Networks model, which is adaptive, then we obtain new controller with many advantages. Neural model is able to observe system changes and adapt itself, therefore regulator based on this model is adaptive. Algorithm was implemented in MATLAB-Simulink with aspect of future implementation to Programmable Logic Controller (PLC) B&R. It was tested on mathematical and physical models in soft-real-time realization. Predictive controller in comparison with classical discrete PID controller and it's advantages and disadvantages are shown. (en)
Title
  • Generalized Predictive Control with Adaptive Model Based on Neural Networks
  • Generalized Predictive Control with Adaptive Model Based on Neural Networks (en)
  • Zevšeobecněný prediktivní regulátor s adaptivním modelem na bázi neuronových sítí (cs)
skos:prefLabel
  • Generalized Predictive Control with Adaptive Model Based on Neural Networks
  • Generalized Predictive Control with Adaptive Model Based on Neural Networks (en)
  • Zevšeobecněný prediktivní regulátor s adaptivním modelem na bázi neuronových sítí (cs)
skos:notation
  • RIV/00216305:26220/05:PU50468!RIV06-MSM-26220___
http://linked.open.../vavai/riv/strany
  • 1-5
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
  • 522503
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/05:PU50468
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • GPC, MPC, predictive, control, adaptive model, Neural Networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [2F721B610CC4]
http://linked.open...v/mistoKonaniAkce
  • Lisabon
http://linked.open...i/riv/mistoVydani
  • Lisabon
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the WSEAS 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
  • Nepevný, Petr
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
is http://linked.open...avai/riv/vysledek of
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, 39 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software