Model order reduction for optimality systems through empirical gramians

In the present article, optimal control problems for linear parabolic partial differential equations (PDEs) with time-dependent coefficient functions are considered. One of the common approach in literature is to derive the first-order sufficient optimality system and to apply a finite element (FE)...

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Main Authors: Luca Mechelli, Jan Rohleff, Stefan Volkwein
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fams.2023.1144142/full
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author Luca Mechelli
Jan Rohleff
Stefan Volkwein
author_facet Luca Mechelli
Jan Rohleff
Stefan Volkwein
author_sort Luca Mechelli
collection DOAJ
description In the present article, optimal control problems for linear parabolic partial differential equations (PDEs) with time-dependent coefficient functions are considered. One of the common approach in literature is to derive the first-order sufficient optimality system and to apply a finite element (FE) discretization. This leads to a specific linear but high-dimensional time variant (LTV) dynamical system. To reduce the size of the LTV system, we apply a tailored reduced order modeling technique based on empirical gramians and derived directly from the first-order optimality system. For testing purpose, we focus on two specific examples: a multiobjective optimization and a closed-loop optimal control problem. Our proposed methodology results to be better performing than a standard proper orthogonal decomposition (POD) approach for the above mentioned examples.
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spelling doaj.art-e5fe60d67c224468a79011e6df07ab402023-12-11T09:56:41ZengFrontiers Media S.A.Frontiers in Applied Mathematics and Statistics2297-46872023-12-01910.3389/fams.2023.11441421144142Model order reduction for optimality systems through empirical gramiansLuca MechelliJan RohleffStefan VolkweinIn the present article, optimal control problems for linear parabolic partial differential equations (PDEs) with time-dependent coefficient functions are considered. One of the common approach in literature is to derive the first-order sufficient optimality system and to apply a finite element (FE) discretization. This leads to a specific linear but high-dimensional time variant (LTV) dynamical system. To reduce the size of the LTV system, we apply a tailored reduced order modeling technique based on empirical gramians and derived directly from the first-order optimality system. For testing purpose, we focus on two specific examples: a multiobjective optimization and a closed-loop optimal control problem. Our proposed methodology results to be better performing than a standard proper orthogonal decomposition (POD) approach for the above mentioned examples.https://www.frontiersin.org/articles/10.3389/fams.2023.1144142/fullmodel order reductionempirical gramiansproper orthogonal decompositionparabolic partial differential equationsmultiobjective optimizationmodel predictive control
spellingShingle Luca Mechelli
Jan Rohleff
Stefan Volkwein
Model order reduction for optimality systems through empirical gramians
Frontiers in Applied Mathematics and Statistics
model order reduction
empirical gramians
proper orthogonal decomposition
parabolic partial differential equations
multiobjective optimization
model predictive control
title Model order reduction for optimality systems through empirical gramians
title_full Model order reduction for optimality systems through empirical gramians
title_fullStr Model order reduction for optimality systems through empirical gramians
title_full_unstemmed Model order reduction for optimality systems through empirical gramians
title_short Model order reduction for optimality systems through empirical gramians
title_sort model order reduction for optimality systems through empirical gramians
topic model order reduction
empirical gramians
proper orthogonal decomposition
parabolic partial differential equations
multiobjective optimization
model predictive control
url https://www.frontiersin.org/articles/10.3389/fams.2023.1144142/full
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