Error bounds for discontinuous finite volume discretisations of Brinkman optimal control problems

We introduce a discontinuous finite volume method for the approximation of distributed optimal control problems governed by the Brinkman equations, where a force field is sought such that it produces a desired velocity profile. The discretisation of state and co-state variables follows a lowest-orde...

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Main Authors: Kumar, S, Ruiz Baier, R, Sandilya, R
Format: Journal article
Published: Springer Verlag 2018
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author Kumar, S
Ruiz Baier, R
Sandilya, R
author_facet Kumar, S
Ruiz Baier, R
Sandilya, R
author_sort Kumar, S
collection OXFORD
description We introduce a discontinuous finite volume method for the approximation of distributed optimal control problems governed by the Brinkman equations, where a force field is sought such that it produces a desired velocity profile. The discretisation of state and co-state variables follows a lowest-order scheme, whereas three different approaches are used for the control representation: a variational discretisation, and approximation through piecewise constant and piecewise linear elements. We employ the optimise-then-discretise approach, resulting in a non-symmetric discrete formulation. A priori error estimates for velocity, pressure, and control in natural norms are derived, and a set of numerical examples is presented to illustrate the performance of the method and to confirm the predicted accuracy of the generated approximations under various scenarios.
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spelling oxford-uuid:05a2fc9a-ec43-40c0-a98d-ce00f322b41f2022-03-26T08:58:17ZError bounds for discontinuous finite volume discretisations of Brinkman optimal control problemsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:05a2fc9a-ec43-40c0-a98d-ce00f322b41fSymplectic Elements at OxfordSpringer Verlag2018Kumar, SRuiz Baier, RSandilya, RWe introduce a discontinuous finite volume method for the approximation of distributed optimal control problems governed by the Brinkman equations, where a force field is sought such that it produces a desired velocity profile. The discretisation of state and co-state variables follows a lowest-order scheme, whereas three different approaches are used for the control representation: a variational discretisation, and approximation through piecewise constant and piecewise linear elements. We employ the optimise-then-discretise approach, resulting in a non-symmetric discrete formulation. A priori error estimates for velocity, pressure, and control in natural norms are derived, and a set of numerical examples is presented to illustrate the performance of the method and to confirm the predicted accuracy of the generated approximations under various scenarios.
spellingShingle Kumar, S
Ruiz Baier, R
Sandilya, R
Error bounds for discontinuous finite volume discretisations of Brinkman optimal control problems
title Error bounds for discontinuous finite volume discretisations of Brinkman optimal control problems
title_full Error bounds for discontinuous finite volume discretisations of Brinkman optimal control problems
title_fullStr Error bounds for discontinuous finite volume discretisations of Brinkman optimal control problems
title_full_unstemmed Error bounds for discontinuous finite volume discretisations of Brinkman optimal control problems
title_short Error bounds for discontinuous finite volume discretisations of Brinkman optimal control problems
title_sort error bounds for discontinuous finite volume discretisations of brinkman optimal control problems
work_keys_str_mv AT kumars errorboundsfordiscontinuousfinitevolumediscretisationsofbrinkmanoptimalcontrolproblems
AT ruizbaierr errorboundsfordiscontinuousfinitevolumediscretisationsofbrinkmanoptimalcontrolproblems
AT sandilyar errorboundsfordiscontinuousfinitevolumediscretisationsofbrinkmanoptimalcontrolproblems