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  • This contribution presents the application of self-tuning continuous - time controller for process control modelled by d - models. The process is identified by the regression (ARX) model using the recursive least squares method (RLSM) with applied directional forgetting. The basic RLSM algorithm has been modified for the d - model structures. Controller synthesis is designed on the basis of the pole placement method (a couple double real poles in s - plane has been chosen in the characteristic polynomial). This continuous - time controller is based on the fact that the d - parameter estimates have excellent convergence and over a short sampling period converge to their continuous versions. The advantage of this approach is that in the identification part of the self - tuning algorithm is not necessary to use computation the parameter estimates of the differential equation using the state variable filter. Choice of initial parameter estimates does not make problems, too.
  • This contribution presents the application of self-tuning continuous - time controller for process control modelled by d - models. The process is identified by the regression (ARX) model using the recursive least squares method (RLSM) with applied directional forgetting. The basic RLSM algorithm has been modified for the d - model structures. Controller synthesis is designed on the basis of the pole placement method (a couple double real poles in s - plane has been chosen in the characteristic polynomial). This continuous - time controller is based on the fact that the d - parameter estimates have excellent convergence and over a short sampling period converge to their continuous versions. The advantage of this approach is that in the identification part of the self - tuning algorithm is not necessary to use computation the parameter estimates of the differential equation using the state variable filter. Choice of initial parameter estimates does not make problems, too. (en)
Title
  • Continuous-time self-tuning controllers using delta model identification
  • Continuous-time self-tuning controllers using delta model identification (en)
skos:prefLabel
  • Continuous-time self-tuning controllers using delta model identification
  • Continuous-time self-tuning controllers using delta model identification (en)
skos:notation
  • RIV/70883521:28110/01:00000014!RIV/2002/GA0/281102/N
http://linked.open.../vavai/riv/strany
  • 1798;1802
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/00/0526), P(GA102/99/1292), Z(MSM 281100001)
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
  • 676361
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28110/01:00000014
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • self-tuning control, delta model, continuous time identification, pole assigment (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [570B4927B748]
http://linked.open...v/mistoKonaniAkce
  • Porto, Portugal
http://linked.open...i/riv/mistoVydani
  • Porto
http://linked.open...i/riv/nazevZdroje
  • Preprints of ECC 2001
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bobál, Vladimír
  • Dostál, Petr
  • Sysel, Martin
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
  • IFAC
https://schema.org/isbn
  • 972-752-047-2
http://localhost/t...ganizacniJednotka
  • 28110
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