collaborators

5 papers

math.OC2026

Optimality-Based Control Space Reduction for Infinite-Dimensional Control Spaces

Michael Kartmann, Stefan Volkwein

We consider linear model reduction in both the control and state variables for unconstrained linear-quadratic optimal control problems subject to time-varying parabolic PDEs. The f…

math.OC2026

Stabilization of Parabolic Time-Varying PDEs using Certified Reduced-Order Receding Horizon Control

Behzad Azmi, Michael Kartmann, Stefan Volkwein

We address the stabilization of linear, time-varying parabolic PDEs using finite-dimensional receding horizon controls (RHCs) derived from reduced-order models (ROMs). We first pro…

math.OC2026

Certified Model Predictive Control for Switched Evolution Equations using Model Order Reduction

Michael Kartmann, Mattia Manucci, Benjamin Unger +1

We present a model predictive control (MPC) framework for linear switched evolution equations arising from a parabolic partial differential equation (PDE). First-order optimality c…

math.OC2025

Solving Semi-Linear Elliptic Optimal Control Problems with -Cost via Regularization and RAS-Preconditioned Newton Methods

Gabriele Ciaramella, Michael Kartmann, Georg Müller

We present a new parallel computational framework for the efficient solution of a class of /-regularized optimal control problems governed by semi-linear elliptic partial…

math.NA2025

Adaptive Reduced Basis Trust Region Methods for Parabolic Inverse Problems

Michael Kartmann, Benedikt Klein, Mario Ohlberger +2

We consider nonlinear inverse problems arising in the context of parameter identification for parabolic partial differential equations (PDEs). For stable reconstructions, regulariz…