| Issue |
ESAIM: COCV
Volume 32, 2026
|
|
|---|---|---|
| Article Number | 39 | |
| Number of page(s) | 20 | |
| DOI | https://doi.org/10.1051/cocv/2026019 | |
| Published online | 06 May 2026 | |
Exact relaxation in optimal switching control for the heat equation
1
Humboldt-Universität zu Berlin, Institut für Mathematik,
Unter den Linden 6,
10099
Berlin,
Germany
2
Weierstraß-Institut,
Anton-Wilhelm-Amo-Str. 39,
10117
Berlin,
Germany
* Corresponding authors: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
21
February
2025
Accepted:
1
March
2026
Abstract
We consider an optimal control problem for the heat equation as a prototypical parabolic partial differential equation with a non-convex control mechanism of the form continuous-or-off. We model this fundamental switching mechanism as the product of a classically continuous and a binary control both in the control term of the dynamics and in the objective. A total variation regularization is added to the cost in order to restrict the number of switching times. This leads to a mixed-integer non-linear PDE-constrained problem. We discuss well-posedness of the problem and present an exact relaxation result for a linearized and a trust-region type penalized problem. The exactness result is constructive and provides a way to numerically compute mixed-integer optimal solutions from the optimality conditions of an associated PDE-constrained problem without integer restrictions. It lays a foundation for a new class of sequential relaxation algorithms to solve the considered class of mixed-integer control problems. This is demonstrated numerically by showcasing a descent step in the presence of binary restrictions.
Mathematics Subject Classification: 35K05 / 49M41 / 90C30 / 90C11
Key words: Heat equation / PDE constrained optimization / nonlinear programming / mixed integer programming
© The authors. Published by EDP Sciences, SMAI 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
