About: Process Control with Neural Networks in PC-B&R Environment     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
  • This paper shows the possibilities of using Matlab for developing control algorithms. The algorithms are implemented as S-functions in ANSI C. After their testing on simulation models in Simulink they are trivially connected to a B&R PLC and tested with physical models. Because the B&R PLCs are programmable in ANSI C, this method allows the algorithms to be later easily ported to the PLC completely. This development method is used for implementation of control algorithms with neural networks. The implemented algorithms are: Direct inverse controller, Takahashi controller with constants set by neural network, Takahashi controller with neural identification of the process.
  • This paper shows the possibilities of using Matlab for developing control algorithms. The algorithms are implemented as S-functions in ANSI C. After their testing on simulation models in Simulink they are trivially connected to a B&R PLC and tested with physical models. Because the B&R PLCs are programmable in ANSI C, this method allows the algorithms to be later easily ported to the PLC completely. This development method is used for implementation of control algorithms with neural networks. The implemented algorithms are: Direct inverse controller, Takahashi controller with constants set by neural network, Takahashi controller with neural identification of the process. (en)
Title
  • Process Control with Neural Networks in PC-B&R Environment
  • Process Control with Neural Networks in PC-B&R Environment (en)
skos:prefLabel
  • Process Control with Neural Networks in PC-B&R Environment
  • Process Control with Neural Networks in PC-B&R Environment (en)
skos:notation
  • RIV/00216305:26220/04:PU45769!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V, Z(MSM 260000013)
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
  • 582400
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/04:PU45769
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • neural networks, control, Matlab, S-function, PLC, ANSI C (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6D3AAF2F740A]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 10th Conference Student EEICT 2004 - Volume 1
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Schmidt, Michal
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
  • Ing. Zdeněk Novotný CSc.
https://schema.org/isbn
  • 80-214-2634-9
http://localhost/t...ganizacniJednotka
  • 26220
Faceted Search & Find service v1.16.116 as of Feb 22 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 07.20.3239 as of Feb 22 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 67 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software