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  • Popularita prediktivního řízení v posledních letech stále narůstá. Článek je věnován prediktivnímu řízení založenému na CARIMA modelu procesu. Při laboratorních regulačních experimentech je polynom šumu uvažován jako laditelný parametr regulátoru. (cs)
  • Popularity of Model Predictive Control techniques is growing in recent years. It is an intuitive and general design method convenient for controlling of multivariable plants, systems with dead-times and it enables simple constraints handling and future references. Authors deal with Generalized Predictive Control based on CARIMA process model. Control experiments with pilot plant are presented by considering the noise polynomial as a tuneable controller parameter. It is shown how the noise polynomial (data filter) improves the controller insensitivity against the high frequency uncertainties ? i.e. the measurement noise.
  • Popularity of Model Predictive Control techniques is growing in recent years. It is an intuitive and general design method convenient for controlling of multivariable plants, systems with dead-times and it enables simple constraints handling and future references. Authors deal with Generalized Predictive Control based on CARIMA process model. Control experiments with pilot plant are presented by considering the noise polynomial as a tuneable controller parameter. It is shown how the noise polynomial (data filter) improves the controller insensitivity against the high frequency uncertainties ? i.e. the measurement noise. (en)
Title
  • Application of noise filter with multivariable GPC
  • Application of noise filter with multivariable GPC (en)
  • Aplikace filtru šumu ve vícerozměrovém prediktivním řízení (cs)
skos:prefLabel
  • Application of noise filter with multivariable GPC
  • Application of noise filter with multivariable GPC (en)
  • Aplikace filtru šumu ve vícerozměrovém prediktivním řízení (cs)
skos:notation
  • RIV/00216275:25530/07:00005229!RIV08-MSM-25530___
http://linked.open.../vavai/riv/strany
  • 246
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021627505)
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
  • 410494
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25530/07:00005229
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • TITO control; generalized predictive control; CARIMA model; noise model; noise filtering (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [171C208C5610]
http://linked.open...v/mistoKonaniAkce
  • Štrbské pleso, Slovakia
http://linked.open...i/riv/mistoVydani
  • Bratislava
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 16th International Conference on Process Control '07
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Honc, Daniel
  • Haber, Robert
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
  • Slovenská technická univerzita v Bratislave
https://schema.org/isbn
  • 978-80-227-2677-1
http://localhost/t...ganizacniJednotka
  • 25530
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