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  • The aim of the adaptive control is to solve the problems of controller design for systems with not completely known or changing characteristics. One of the successful and perspective directions is represented by self-tuning controllers (STC) [1]. The self-tuning algorithms proposed here utilise the recursive identification procedure for estimation of discrete-time parameters of inherently continuous working controlled plants. The identification part of the designed controllers is utilises the recursive least squares method using directional forgetting. The parameter estimates are used for the calculation of control parameters and control law. The control law computes the controller output in sampling periods. The pole placement method is used for the controller synthesis in this paper. For the design of the self - tuning controllers can be used many various modifications.
  • The aim of the adaptive control is to solve the problems of controller design for systems with not completely known or changing characteristics. One of the successful and perspective directions is represented by self-tuning controllers (STC) [1]. The self-tuning algorithms proposed here utilise the recursive identification procedure for estimation of discrete-time parameters of inherently continuous working controlled plants. The identification part of the designed controllers is utilises the recursive least squares method using directional forgetting. The parameter estimates are used for the calculation of control parameters and control law. The control law computes the controller output in sampling periods. The pole placement method is used for the controller synthesis in this paper. For the design of the self - tuning controllers can be used many various modifications. (en)
Title
  • FOUR MODIFICATIONS OF ADAPTIVE CONTROLLERS: ALGORITHMS AND COMPARING
  • FOUR MODIFICATIONS OF ADAPTIVE CONTROLLERS: ALGORITHMS AND COMPARING (en)
skos:prefLabel
  • FOUR MODIFICATIONS OF ADAPTIVE CONTROLLERS: ALGORITHMS AND COMPARING
  • FOUR MODIFICATIONS OF ADAPTIVE CONTROLLERS: ALGORITHMS AND COMPARING (en)
skos:notation
  • RIV/70883521:28110/01:00000074!RIV/2002/GA0/281102/N
http://linked.open.../vavai/riv/strany
  • 81;86
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
  • 680685
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28110/01:00000074
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • self-tuning control, recursive identification, d - model, pole placement method (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AC6D08E9CF1B]
http://linked.open...v/mistoKonaniAkce
  • Krynica
http://linked.open...i/riv/mistoVydani
  • WIMR AGH Krakow
http://linked.open...i/riv/nazevZdroje
  • Proceedings of INTERNATIONAL CARPATHIAN CONFERENCE
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
  • WIMR AGH Krakow
https://schema.org/isbn
  • 83-913400-7-4
http://localhost/t...ganizacniJednotka
  • 28110
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