Nonlinear model prediction Jacobian approximation using state-independent order reduction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F23%3A00369709" target="_blank" >RIV/68407700:21220/23:00369709 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/PC58330.2023.10217385" target="_blank" >https://doi.org/10.1109/PC58330.2023.10217385</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PC58330.2023.10217385" target="_blank" >10.1109/PC58330.2023.10217385</a>
Alternative languages
Result language
angličtina
Original language name
Nonlinear model prediction Jacobian approximation using state-independent order reduction
Original language description
This paper presents a method for efficiently approximating the nonlinear model prediction Jacobian matrix using state-independent model order reduction. The predictive Jacobian matrix describes how changes in the predictive inputs affect the state prediction. This method aims to reduce computation time of nonlinear model predictive control of large-scale systems, typically with spatially distributed parameters. The approach employs a unique combination of step-wise linearization, order reduction, and time discretization to calculate predictive impulse responses, followed by the reduction inverse. The reduction transformation considered is agnostic to the current state, which contributes to saving computation time. A numerical example of continuous heating is included to demonstrate the efficiency and applicability of the method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
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 24th International Conference on Process Control
ISBN
979-8-3503-4763-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
42-47
Publisher name
Slovak University of Technology
Place of publication
Bratislava
Event location
Štrbské Pleso
Event date
Jun 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001058530100008