About: Application of One Approach to Identification of Continuous -Time Systems in Self-Tuning Control     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
  • One approach to a recursive identification of continuous - time systems is described in this paper. Since derivatives of input and output variables of continuous ? time systems can not be directly determined, differential filters and filtered variables are established to substitute primary variables. The filtered variables are then used in a recursive identification procedure, where the classical recursive least squares method is used to identify the system. The approach was applied to adaptive control using self - tuning controllers. Application to self - tuning control of a continuous - time two - input/two - output system is presented as a simulation example.
  • One approach to a recursive identification of continuous - time systems is described in this paper. Since derivatives of input and output variables of continuous ? time systems can not be directly determined, differential filters and filtered variables are established to substitute primary variables. The filtered variables are then used in a recursive identification procedure, where the classical recursive least squares method is used to identify the system. The approach was applied to adaptive control using self - tuning controllers. Application to self - tuning control of a continuous - time two - input/two - output system is presented as a simulation example. (en)
Title
  • Application of One Approach to Identification of Continuous -Time Systems in Self-Tuning Control
  • Application of One Approach to Identification of Continuous -Time Systems in Self-Tuning Control (en)
skos:prefLabel
  • Application of One Approach to Identification of Continuous -Time Systems in Self-Tuning Control
  • Application of One Approach to Identification of Continuous -Time Systems in Self-Tuning Control (en)
skos:notation
  • RIV/70883521:28140/09:63507949!RIV10-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM7088352101)
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
  • 303813
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/09:63507949
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • System identification; differential filters; self - tuning control; recursive least squares method; polynomial methods (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7576EA73E1D4]
http://linked.open...v/mistoKonaniAkce
  • Palma de Mallorca, Spain
http://linked.open...i/riv/mistoVydani
  • Calgary
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 18th IASTED International Conference on Applied Simulation and Modelling
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bobál, Vladimír
  • Kubalčík, Marek
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
  • ACTA Press
https://schema.org/isbn
  • 978-0-88986-808-3
http://localhost/t...ganizacniJednotka
  • 28140
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, 47 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software