hi :)
i am phd student in the working group numerical optimization at the university of konstanz in germany. my position is funded by the bmbf project elan which aims to develop efficient model predictive control methods for the local utilization of waste heat in low-temperature heating networks.
my research focuses on non-linear and non-smooth pde-constrained optimization, optimal control, reinforcement learning and model reduction of large-scale dynamical systems.
additionally, i am a member of the young mathematicians in model order reduction (ymmor) committee.
i am phd student in the working group numerical optimization at the university of konstanz in germany. my position is funded by the bmbf project elan which aims to develop efficient model predictive control methods for the local utilization of waste heat in low-temperature heating networks.
my research focuses on non-linear and non-smooth pde-constrained optimization, optimal control, reinforcement learning and model reduction of large-scale dynamical systems.
additionally, i am a member of the young mathematicians in model order reduction (ymmor) committee.
research
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Certified Model Predictive Control for Switched Evolution Equations using Model Order Reduction
[ bib | DOI | arXiv ]
Michael Kartmann, Mattia Manucci, Benjamin Unger, Stefan Volkwein
Submitted, 2024.
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Solving Semi-Linear Elliptic Optimal Control Problems with \(L^1\)-Cost via Regularization and RAS-Preconditioned Newton Methods
[ bib | DOI | arXiv ]
Gabriele Ciaramella, Michael Kartmann, Georg Müller
Submitted, 2024.
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Adaptive Trust Region Reduced Basis Methods for Parameter Identification Problems
[ bib | DOI | arXiv ]
Michael Kartmann, Tim Keil, Mario Ohlberger, Stefan Volkwein, Barbara Kaltenbacher
Springer Nature - Computational Science and Engineering, 1(1):3, 2024.
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news & talks
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