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Description
  • Finding a suitable dynamic, linear, time-invariant model is a major obstacle for the use of model-predictive control of buildings. While finding models based on physical properties of the system is time consuming, statistical models need the system to be excited, which is not always possible. This paper presents possibilities for finding a suitable model based on subspace identification methods for unexcited data and data containing a specially designed identification experiment, and presents practical experiences gained while finding suitable models for a large building. Finally, some other possibilities of finding a model by incorporating prior information to the identification process are discussed, and the performance of the models is evaluated with respect to their use as a part of an MPC controller.
  • Finding a suitable dynamic, linear, time-invariant model is a major obstacle for the use of model-predictive control of buildings. While finding models based on physical properties of the system is time consuming, statistical models need the system to be excited, which is not always possible. This paper presents possibilities for finding a suitable model based on subspace identification methods for unexcited data and data containing a specially designed identification experiment, and presents practical experiences gained while finding suitable models for a large building. Finally, some other possibilities of finding a model by incorporating prior information to the identification process are discussed, and the performance of the models is evaluated with respect to their use as a part of an MPC controller. (en)
Title
  • Notes on Finding Black-Box Model of a Large Building
  • Notes on Finding Black-Box Model of a Large Building (en)
skos:prefLabel
  • Notes on Finding Black-Box Model of a Large Building
  • Notes on Finding Black-Box Model of a Large Building (en)
skos:notation
  • RIV/68407700:21230/10:00169665!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(FR-TI1/517), 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
  • 275163
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00169665
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • identification; model based predictive control; modeling; subspace identification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [ED49BA94FE74]
http://linked.open...v/mistoKonaniAkce
  • Yokohama
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 2010 IEEE International Conference on Control Applications
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
  • Ferkl, Lukáš
  • Váňa, Zdeněk
  • Kubeček, Jakub
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000286943900262
http://linked.open.../riv/zahajeniAkce
issn
  • 1085-1992
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Control System Society
https://schema.org/isbn
  • 978-1-4244-5363-4
http://localhost/t...ganizacniJednotka
  • 21230
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