Building modeling: on selection of the model complexity for predictive control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00206010" target="_blank" >RIV/68407700:21230/13:00206010 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/B978-0-444-63234-0.50035-X" target="_blank" >http://dx.doi.org/10.1016/B978-0-444-63234-0.50035-X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/B978-0-444-63234-0.50035-X" target="_blank" >10.1016/B978-0-444-63234-0.50035-X</a>
Alternative languages
Result language
angličtina
Original language name
Building modeling: on selection of the model complexity for predictive control
Original language description
Model Predictive Control has become a wide-spread solution in many industrial applications and is gaining ground in the field of energy management of the buildings. A model with good prediction properties is an ultimate condition for good performance ofthe predictive controller. In this paper grey box modeling and model predictive control relevant identification are used for construction of candidate models of a building. We introduce a two-stage iterative procedure for model selection: in the first stage a minimum set of disturbance inputs is formed such that the resulting model is the best with respect to defined criterion; then the second stage comprises addition of states to obtain a final minimum parameter set maximizing the model quality. The procedure stops when it makes no sense to select more complex model as it brings no more quality improvements. Finally a case study is provided where all the above mentioned approaches are investigated.
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/GAP103%2F12%2F1187" target="_blank" >GAP103/12/1187: Identification of Stochastic, Nonlinear Systems for Advanced Control</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 23rd European Symposium on Computer Aided Process Engineering
ISBN
978-0-444-63234-0
ISSN
1570-7946
e-ISSN
—
Number of pages
6
Pages from-to
205-210
Publisher name
Elsevier
Place of publication
Kidlington Oxford OX GB
Event location
Lappeenranta
Event date
Jun 9, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000329495800035