3 papers
math.OC2026
Hessian-augmented Supervised Learning for Hamilton-Jacobi-Bellman PDEs
MatÃas Gómez-Aedo, Behzad Azmi, Yuyang Huang +2
A data-driven method is developed for approximating value functions in deterministic optimal control problems with nonlinear control-affine dynamics. The Pontryagin Maximum Princip…
math.OC2026
Infinite Horizon Optimal Control Problems with Discount Factors
Eduardo Casas, Karl Kunisch
This paper is dedicated to the analysis of infinite horizon optimal control problems subject to semilinear parabolic equations with constraints on the controls and discounted cost…
math.OC2025
Optimal control of a nonlinear kinetic Fokker-Planck equation
Tobias Breiten, Karl Kunisch
A tracking type optimal control problem for a nonlinear and nonlocal kinetic Fokker-Planck equation which arises as the mean field limit of an interacting particle systems that is…