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  • An B-tuple of predictors was used for -step prediction. Both linear and non-linear predictors were compared to obtain their statistics. Means and variances of individual predictors were estimated. According to the hypothesis of independent estimators thesimple mixed predictor with minimum variance and zero bias was subject of analytical optimization. The regularization technique was applied to stabilize the predictor. The mixed predictor is easy to construct using only a finite number of elementary ari thmetic operations. There is also possible to suppose the dependent estimators and then formulate a regularized quadratic programming task to create more sophisticated non-linear prediction. There is necessary to apply the iterative techniques to obtain approximate solution in real time. The resulting mixed predictor can be used as input of a controller and then run in feedback control. The mixed predictor was realized in Matlab environment.
  • An B-tuple of predictors was used for -step prediction. Both linear and non-linear predictors were compared to obtain their statistics. Means and variances of individual predictors were estimated. According to the hypothesis of independent estimators thesimple mixed predictor with minimum variance and zero bias was subject of analytical optimization. The regularization technique was applied to stabilize the predictor. The mixed predictor is easy to construct using only a finite number of elementary ari thmetic operations. There is also possible to suppose the dependent estimators and then formulate a regularized quadratic programming task to create more sophisticated non-linear prediction. There is necessary to apply the iterative techniques to obtain approximate solution in real time. The resulting mixed predictor can be used as input of a controller and then run in feedback control. The mixed predictor was realized in Matlab environment. (en)
Title
  • Simple Mixed Predictor in Feedback
  • Simple Mixed Predictor in Feedback (en)
skos:prefLabel
  • Simple Mixed Predictor in Feedback
  • Simple Mixed Predictor in Feedback (en)
skos:notation
  • RIV/60461373:22340/03:00007448!RIV/2004/MSM/223404/N
http://linked.open.../vavai/riv/strany
  • PC078/1-PC078/5
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 223400007)
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
  • 627021
http://linked.open...ai/riv/idVysledku
  • RIV/60461373:22340/03:00007448
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • prediction, minimum variance, regularization, mixed predictor, Matlab (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [904203FF31AB]
http://linked.open...v/mistoKonaniAkce
  • Štrbské Pleso
http://linked.open...i/riv/mistoVydani
  • Bratislava
http://linked.open...i/riv/nazevZdroje
  • Proc. of 14th Int. Conf. on Process Control PC '03
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...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kukal, Jaromír
  • Kmínek, Miloš
  • Majerová, Dana
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
  • 80-227-1902-1
http://localhost/t...ganizacniJednotka
  • 22340
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