Subspace Identification and Model Predictive Control for Buildings
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00173976" target="_blank" >RIV/68407700:21230/10:00173976 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Subspace Identification and Model Predictive Control for Buildings
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/2A-1TP1%2F084" target="_blank" >2A-1TP1/084: *Integration of the systems in the buildings, research and application of intelligent algorithms that have influence on the energy consumption</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 11th International Conference on Control, Automation, Robotics and Vision - ICARCV2010
ISBN
978-1-4244-7813-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Omnipress
Place of publication
Madison
Event location
Singapur
Event date
Dec 7, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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