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Description
  • Model predictive controller presented in this article makes use of both weather forecast and thermal model of a building to control inside temperature. This, by sharp contrast to conventional control strategies such as weather-compensated heating control (heating-curve controller), enables utilization of thermal capacity of the building, thus minimization of energy consumption. The inside temperature can be maintained at desired levels independent of the outside weather conditions using modified formulation of predictive controller. Nevertheless, proper identification of the building model is crucial. The models of multiple-input multiple-output systems can be identified using subspace methods. The controller was tested on (and applied to) the real building and results were compared with a present heating control.
  • Model predictive controller presented in this article makes use of both weather forecast and thermal model of a building to control inside temperature. This, by sharp contrast to conventional control strategies such as weather-compensated heating control (heating-curve controller), enables utilization of thermal capacity of the building, thus minimization of energy consumption. The inside temperature can be maintained at desired levels independent of the outside weather conditions using modified formulation of predictive controller. Nevertheless, proper identification of the building model is crucial. The models of multiple-input multiple-output systems can be identified using subspace methods. The controller was tested on (and applied to) the real building and results were compared with a present heating control. (en)
Title
  • Subspace Identification and Model Predictive Control for Buildings
  • Subspace Identification and Model Predictive Control for Buildings (en)
skos:prefLabel
  • Subspace Identification and Model Predictive Control for Buildings
  • Subspace Identification and Model Predictive Control for Buildings (en)
skos:notation
  • RIV/68407700:21230/10:00173976!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(2A-1TP1/084), S
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
  • 290958
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00173976
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • subspace identification; optimal control; model predictive control; costs effectiveness (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B79F2254A0A0]
http://linked.open...v/mistoKonaniAkce
  • Singapur
http://linked.open...i/riv/mistoVydani
  • Madison
http://linked.open...i/riv/nazevZdroje
  • The 11th International Conference on Control, Automation, Robotics and Vision - ICARCV2010
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Cigler, Jiří
  • Prívara, Samuel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Omnipress
https://schema.org/isbn
  • 978-1-4244-7813-2
http://localhost/t...ganizacniJednotka
  • 21230
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