Team > M.Sc. Mario Sperl


Department of Mathematics
Chair of Applied Mathematics
M.Sc. Mario Sperl
- project member
- Room: 3.2 01 530 (NW II)
- e-mail: Mario.Sperl@uni-bayreuth.de
project: “Curse-of-dimensionality-free nonlinear optimal feedback control with deep neural networks. Spatially decreasing sensitivity and nonsmooth problems”
former project: “Curse-of-dimensionality-free nonlinear optimal feedback control with deep neural networks. A compositionality-based approach via Hamilton-Jacobi-Bellman PDEs”

Department of Mathematics
Chair of Applied Mathematics
- Systems & control theory
- Optimal control
- Deep learning

Department of Mathematics
Chair of Applied Mathematics
Publications
2025
Mario Sperl, Luca Saluzzi, Dante Kalise and Lars Grüne: Separable approximations of optimal value functions and their representation by neural networks.. - Bayreuth, 2025-02-12. - 20 S.
doi:10.48550/arXiv.2502.08559
Lars Grüne, Mario Sperl and Debasish Chatterjee: Representation of practical nonsmooth control Lyapunov functions by piecewise affine functions and neural networks.. - Bayreuth, 2025-02-08. - 9 S.
doi:10.15495/EPub_UBT_00008178
Mario Sperl, Jonas Mysliwitz and Lars Grüne: On the Existence and Neural Network Representation of Separable Control Lyapunov Functions.. - Bayreuth, 2025. - 11 S.
doi:10.15495/EPub_UBT_00008101
2024
Armin Nurkanović, Mario Sperl, Sebastian Albrecht and Moritz Diehl: Finite Elements with Switch Detection for Direct Optimal Control of Nonsmooth Systems. In: Numerische Mathematik, 156 (2024). - S. 1115-1162.
doi:10.1007/s00211-024-01412-z
2023
Mario Sperl, Luca Saluzzi, Lars Grüne and Dante Kalise: Separable approximations of optimal value functions under a decaying sensitivity assumption. In: 62nd IEEE Conference on Decision and Control (CDC) 2023. - Singapore, Singapore : 2023. - S. 259-264.
doi:10.1109/CDC49753.2023.10383497
Lars Grüne and Mario Sperl: Examples for separable control Lyapunov functions and their neural network approximation. In: IFAC-PapersOnLine, 56 (2023). - S. 19-24.
doi:10.1016/j.ifacol.2023.02.004
2020
Armin Nurkanović, Amer Mešanović, Mario Sperl, Sebastian Albrecht, Ulrich Münz, Rolf Findeisen and Moritz Diehl: Optimization-based primary and secondary control of microgrids. In: Automatisierungstechnik, 68 (2020). - S. 1044-1058.
doi:10.1515/auto-2020-0088

Department of Mathematics
Chair of Applied Mathematics
M.Sc. Mario Sperl
from 11/2021 on: project member
Chair of Applied Mathematics
Department of Mathematics
University of Bayreuth
95440 Bayreuth, Germany
Phone: +49 (0)921 55-3278
E-mail: Mario.Sperl@uni-bayreuth.de