About: Using Neural Networks For Adaptive Control of Thermal Process     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
  • The semi-inversion controller originally designed for linear systems proved to have favorable characteristics also for considerably non-linear systems. The semi-inversion controller was designed to get to grips with extreme control action occurring in an inversion control, to exploit the high adaptability of neural networks and make use of inversion control principles. We used the semi-inversion controller for control a real system – laboratory hot-air system model. The efficient of control algorithm we demonstrate by control MIMO system with two parameters – the airflow and the temperature inside the tunnel.
  • The semi-inversion controller originally designed for linear systems proved to have favorable characteristics also for considerably non-linear systems. The semi-inversion controller was designed to get to grips with extreme control action occurring in an inversion control, to exploit the high adaptability of neural networks and make use of inversion control principles. We used the semi-inversion controller for control a real system – laboratory hot-air system model. The efficient of control algorithm we demonstrate by control MIMO system with two parameters – the airflow and the temperature inside the tunnel. (en)
Title
  • Using Neural Networks For Adaptive Control of Thermal Process
  • Using Neural Networks For Adaptive Control of Thermal Process (en)
skos:prefLabel
  • Using Neural Networks For Adaptive Control of Thermal Process
  • Using Neural Networks For Adaptive Control of Thermal Process (en)
skos:notation
  • RIV/00216305:26220/04:PU44523!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GD102/03/H116), 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
  • 591749
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/04:PU44523
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • adaptive control, semi-inversion controller, hot-air tunnel, MIMO system, neural networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C804A6E196BA]
http://linked.open...v/mistoKonaniAkce
  • Vienna
http://linked.open...i/riv/mistoVydani
  • Vienna, Austria
http://linked.open...i/riv/nazevZdroje
  • Annals of DAAAM for 2004 & Proceedings
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
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
  • DAAAM International Vienna
https://schema.org/isbn
  • 3-901509-42-9
http://localhost/t...ganizacniJednotka
  • 26220
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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software