Numerical controllability of the wave equation through primal methods and Carleman estimates
Nicolae C\^indea (INRIA Rocquencourt), Enrique Fernandez-Cara (Dpto., E.D.A.N.), Arnaud Munch

TL;DR
This paper presents a direct primal approach using Carleman estimates for the numerical computation of boundary controls in the 1D wave equation, avoiding duality methods and demonstrating convergence through finite element approximations.
Contribution
It introduces a novel primal control method based on Carleman estimates and establishes convergence of finite element approximations for the control problem.
Findings
Finite element method approximations converge strongly.
Numerical experiments validate the theoretical results.
The approach avoids duality arguments in control computation.
Abstract
This paper deals with the numerical computation of boundary null controls for the 1D wave equation with a potential. The goal is to compute an approximation of controls that drive the solution from a prescribed initial state to zero at a large enough controllability time. We do not use in this work duality arguments but explore instead a direct approach in the framework of global Carleman estimates. More precisely, we consider the control that minimizes over the class of admissible null controls a functional involving weighted integrals of the state and of the control. The optimality conditions show that both the optimal control and the associated state are expressed in terms of a new variable, the solution of a fourth-order elliptic problem defined in the space-time domain. We first prove that, for some specific weights determined by the global Carleman inequalities for the wave…
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
TopicsStability and Controllability of Differential Equations · Numerical methods for differential equations · Advanced Mathematical Physics Problems
