Dual control approach for zone model predictive control

Result code in 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>
Alternative codes found
RIV/68407700:21720/13:00206353
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Dual control approach for zone model predictive control
Original language description
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
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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