Projects: Curse-of-dimensionality-free nonlinear optimal feedback control with deep neural networks. A compositionality-based approach via Hamilton-Jacobi-Bellman PDEs

Sperl, Mario ; Mysliwitz, Jonas ; Grüne, Lars:
On the Existence and Neural Network Representation of Separable Control Lyapunov Functions.
Bayreuth , 2025 . - 11 p.
DOI: https://doi.org/10.15495/EPub_UBT_00008101

Chatterjee, Debasish ; Grüne, Lars ; Sperl, Mario:
Representation of practical nonsmooth control Lyapunov functions by piecewise affine functions and neural networks.
Bayreuth , 2024 . - 8 p.
DOI: https://doi.org/10.15495/EPub_UBT_00008094

Sperl, Mario ; Saluzzi, Luca ; Grüne, Lars ; Kalise, Dante:
Separable approximations of optimal value functions under a decaying sensitivity assumption.
In: 62nd IEEE Conference on Decision and Control (CDC) 2023. - Singapore, Singapore , 2023 . - pp. 259-264
DOI: https://doi.org/10.1109/CDC49753.2023.10383497

Grüne, Lars ; Sperl, Mario:
Examples for separable control Lyapunov functions and their neural network approximation.
In: IFAC-PapersOnLine. Vol. 56 (2023) Issue 1 . - pp. 19-24.
DOI: https://doi.org/10.1016/j.ifacol.2023.02.004