On the Quadratic Programming Solution for Model Predictive Control with Move Blocking

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00355962" target="_blank" >RIV/68407700:21230/21:00355962 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/PC52310.2021.9447499" target="_blank" >http://dx.doi.org/10.1109/PC52310.2021.9447499</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PC52310.2021.9447499" target="_blank" >10.1109/PC52310.2021.9447499</a>

Result language
angličtina
Original language name
On the Quadratic Programming Solution for Model Predictive Control with Move Blocking
Original language description
Model Predictive Control (MPC) is a popular optimization-based control technique. MPC is usually formulated as sparse or dense Quadratic Programming (QP). This paper reviews two well-known methods: state condensing and move blocking, and brings them together. Their combination results in general QP that serves arbitrarily sparse (or dense) QP for MPC with move blocking. The proposed QP can be solved by a specialized solver capable of exploiting a problem's sparsity structure. A numerical example illustrates connections to computational and memory requirements.
Czech name
—
Czech description
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Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 23rd International Conference on Process Control
ISBN
978-1-6654-0330-6
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
49-54
Publisher name
IEEE
Place of publication
Piscataway
Event location
Štrbské Pleso
Event date
Jun 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000723653400009

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