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  • This paper introduces a controller which integrates a predictive control synthesis based on a multivariable state-space model of the controlled system and an on-line identification of an ARX model corresponding to the state-space model. The used approach then combines both the state-space and input-output models. The model parameters are recursively estimated using the recursive least squares method. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The controller was applied for real-time control of a three-tank-system laboratory model. The objective laboratory model is a two input-two output (TITO) nonlinear system. Results of real-time experiments are also included.
  • This paper introduces a controller which integrates a predictive control synthesis based on a multivariable state-space model of the controlled system and an on-line identification of an ARX model corresponding to the state-space model. The used approach then combines both the state-space and input-output models. The model parameters are recursively estimated using the recursive least squares method. The control algorithm is based on the Generalised Predictive Control (GPC) method. The optimization was realized by minimization of a quadratic objective function. The controller was applied for real-time control of a three-tank-system laboratory model. The objective laboratory model is a two input-two output (TITO) nonlinear system. Results of real-time experiments are also included. (en)
Title
  • Adaptive Predictive Control Utilizing Both State-Space And Input-Output Models
  • Adaptive Predictive Control Utilizing Both State-Space And Input-Output Models (en)
skos:prefLabel
  • Adaptive Predictive Control Utilizing Both State-Space And Input-Output Models
  • Adaptive Predictive Control Utilizing Both State-Space And Input-Output Models (en)
skos:notation
  • RIV/70883521:28140/14:43872367!RIV15-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V
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
  • 1604
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/14:43872367
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  • Predictive control, adaptive control, three-tank-system, recursive identification, state-space model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [EF80318BF1C3]
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  • Oščadnica
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  • Bratislava
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  • Kybernetika a informatika ´14 (sborník abstraktů)
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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
number of pages
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  • Slovenská technická univerzita v Bratislave
https://schema.org/isbn
  • 978-80-227-4122-4
http://localhost/t...ganizacniJednotka
  • 28140
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