Optimal control of a non-smooth elliptic PDE with non-linear term acting on the control
Livia Betz

TL;DR
This paper derives first-order optimality conditions for a control-constrained optimization problem governed by a non-smooth elliptic PDE with a control-dependent non-linearity, extending the theoretical framework for such problems.
Contribution
It establishes strong stationary optimality conditions for non-smooth elliptic PDE control problems, which were previously difficult due to non-differentiability.
Findings
Derived conditions for strong stationarity in non-smooth PDE control problems
Extended the theoretical understanding of non-smooth optimality systems
Applied findings to non-smooth shape optimization in recent work
Abstract
This paper continues the investigations from [7] and is concerned with the derivation of first-order conditions for a control constrained optimization problem governed by a non-smooth elliptic PDE. The control enters the state equation not only linearly but also as the argument of a regularization of the Heaviside function. The non-linearity which acts on the state is locally Lipschitz-continuous and not necessarily differentiable, i.e., non-smooth. This excludes the application of standard adjoint calculus. We derive conditions under which a strong stationary optimality system can be established, i.e., a system that is equivalent to the purely primal optimality condition saying that the directional derivative of the reduced objective in feasible directions is nonnegative. For this, two assumptions are made on the unknown optimizer. Some of the presented findings are employed in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Differential Equations and Numerical Methods · Stability and Controllability of Differential Equations
