Nonlinear model prediction Jacobian approximation using state-independent order reduction

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Nonlinear model prediction Jacobian approximation using state-independent order reduction

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Nonlinear model prediction Jacobian approximation using state-independent order reduction

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 24th International Conference on Process Control

ISBN

979-8-3503-4763-0

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

42-47

Název nakladatele

Slovak University of Technology

Místo vydání

Bratislava

Místo konání akce

Štrbské Pleso

Datum konání akce

6. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001058530100008