About: Simple Neural Network-Based Adaptive Controller for Heating System     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 algorithm for the semi-inversion controller has been designed for adaptive control based on neural networks. This controller originally designed for linear systems proved to have favorable characteristics also for considerably non-linear systems. The algorithm deals with extreme inversion controlling actions occurring in inversion control. 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 hot-air system displays negative effects commonly occurring in industrial applications – different static amplifications at different operating points, large offset increasing with time, dead zone and noise.
  • The algorithm for the semi-inversion controller has been designed for adaptive control based on neural networks. This controller originally designed for linear systems proved to have favorable characteristics also for considerably non-linear systems. The algorithm deals with extreme inversion controlling actions occurring in inversion control. 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 hot-air system displays negative effects commonly occurring in industrial applications – different static amplifications at different operating points, large offset increasing with time, dead zone and noise. (en)
Title
  • Simple Neural Network-Based Adaptive Controller for Heating System
  • Simple Neural Network-Based Adaptive Controller for Heating System (en)
skos:prefLabel
  • Simple Neural Network-Based Adaptive Controller for Heating System
  • Simple Neural Network-Based Adaptive Controller for Heating System (en)
skos:notation
  • RIV/00216305:26220/04:PU44010!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
  • 586225
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/04:PU44010
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Adaptive Control, Neural Networks, Simple Neural Controller (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3A6EDB14AA5B]
http://linked.open...v/mistoKonaniAkce
  • Zittau
http://linked.open...i/riv/mistoVydani
  • Zittau, Germany
http://linked.open...i/riv/nazevZdroje
  • Proceedings East West Fuzzy Colloquium 2004
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
  • Rektor der Hochschule Zitttau/Görlitz
https://schema.org/isbn
  • 3-9808089-5-5
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