Dual control approach for zone model predictive control
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00206353" target="_blank" >RIV/68407700:21230/13:00206353 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21720/13:00206353
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Dual control approach for zone model predictive control
Popis výsledku v původním jazyce
Over the last few years, model based predictive controller (MPC) has gained popularity in many industrial fields one of which is the building climate control. In order to work properly, the MPC needs a model of a controlled system which describes the reality as accurate as possible. In practice, the model used by the MPC often becomes inapplicable due to the change of either the operating point or other conditions which leads to control performance degradation. In such a situation, it is inevitable to re-identify the model. However, in a majority of cases, the data available for the re-identification are from the closed-loop and they do not contain enough information for the successful re-identification of the model. In this paper, a dual control algorithm based on the maximization of the smallest eigenvalue of the information matrix increase ensuring both the appropriately informative data and satisfaction of the control performance is presented. As the area of the interest is the bu
Název v anglickém jazyce
Dual control approach for zone model predictive control
Popis výsledku anglicky
Over the last few years, model based predictive controller (MPC) has gained popularity in many industrial fields one of which is the building climate control. In order to work properly, the MPC needs a model of a controlled system which describes the reality as accurate as possible. In practice, the model used by the MPC often becomes inapplicable due to the change of either the operating point or other conditions which leads to control performance degradation. In such a situation, it is inevitable to re-identify the model. However, in a majority of cases, the data available for the re-identification are from the closed-loop and they do not contain enough information for the successful re-identification of the model. In this paper, a dual control algorithm based on the maximization of the smallest eigenvalue of the information matrix increase ensuring both the appropriately informative data and satisfaction of the control performance is presented. As the area of the interest is the bu
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
BC - Teorie a systémy řízení
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the European Control Conference
ISBN
978-3-033-03962-9
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
1398-1403
Název nakladatele
European Control Association
Místo vydání
Zurich
Místo konání akce
Zurich
Datum konání akce
17. 7. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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