Optimal control of the Navier-Stokes equations via pressure boundary conditions

In this work, we studied an optimal control problem subject to the unsteady Navier-Stokes equations, where the control enters via an inhomogeneous Neumann/Do-Nothing boundary condition. Despite the Navier-Stokes equations with these boundary conditions not being well-posed for large times and/or data, we obtained well-posedness of the optimal control problem by choosing a proper tracking type term. Moreover, we derived first- and second-order optimality conditions. In order to discuss the regularity of the optimal control, state, and adjoint state, we presented new results on $ L^2(I;H^2( \Omega)) $ regularity of solutions to a Stokes problem with mixed inhomogeneous boundary conditions.

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Publication Details

Journal
Mathematical Control and Related Fields
Published
2025-09-09
DOI
https://doi.org/10.3934/mcrf.2025053
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

Optimal control of the Navier-Stokes equations via pressure boundary conditions

Boris Vexler, Jakob Wagner
Mathematical Control and Related Fields
Advanced Numerical Methods in Computational Mathematics
article

Optimal control of the Navier-Stokes equations via pressure boundary conditions

Boris Vexler, Jakob Wagner
article en

Abstract

In this work, we studied an optimal control problem subject to the unsteady Navier-Stokes equations, where the control enters via an inhomogeneous Neumann/Do-Nothing boundary condition. Despite the Navier-Stokes equations with these boundary conditions not being well-posed for large times and/or data, we obtained well-posedness of the optimal control problem by choosing a proper tracking type term. Moreover, we derived first- and second-order optimality conditions. In order to discuss the regularity of the optimal control, state, and adjoint state, we presented new results on $ L^2(I;H^2( \Omega)) $ regularity of solutions to a Stokes problem with mixed inhomogeneous boundary conditions.

Mathematical Control and Related FieldsVol. 18(0)
Technical University of Munich (DE)
Openalex Percentile: Top 74%
Advanced Numerical Methods in Computational Mathematics
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