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2020 – today
- 2024
[c6]Dieter Teichrib, Moritz Schulze Darup:
Piecewise regression via mixed-integer programming for MPC. L4DC 2024: 337-348- [i7]Dieter Teichrib, Moritz Schulze Darup:
Piecewise regression via mixed-integer programming for MPC. CoRR abs/2407.06665 (2024) - [i6]Dieter Teichrib, Moritz Schulze Darup:
Reachability analysis for piecewise affine systems with neural network-based controllers. CoRR abs/2411.03834 (2024) - 2023
- [c5]Dieter Teichrib, Moritz Schulze Darup:
Efficient Computation of Lipschitz Constants for MPC with Symmetries. CDC 2023: 6685-6691 - [i5]Dieter Teichrib, Moritz Schulze Darup:
Error bounds for maxout neural network approximations of model predictive control. CoRR abs/2304.08779 (2023) - [i4]Dieter Teichrib, Moritz Schulze Darup:
Efficient computation of Lipschitz constants for MPC with symmetries. CoRR abs/2311.04580 (2023) - 2022
- [c4]Manuel Klädtke, Dieter Teichrib, Nils Schlüter, Moritz Schulze Darup:
A deterministic view on explicit data-driven (M)PC. CDC 2022: 499-504 - [c3]Dieter Teichrib, Moritz Schulze Darup:
Tailored max-out networks for learning convex PWQ functions. ECC 2022: 2272-2278 - [i3]Dieter Teichrib, Moritz Schulze Darup:
Tailored max-out networks for learning convex PWQ functions. CoRR abs/2206.06826 (2022) - [i2]Manuel Klädtke, Dieter Teichrib, Nils Schlüter, Moritz Schulze Darup:
A deterministic view on explicit data-driven (M)PC. CoRR abs/2206.07025 (2022) - 2021
- [c2]Dieter Teichrib, Moritz Schulze Darup:
Tailored neural networks for learning optimal value functions in MPC. CDC 2021: 5281-5287 - [i1]Dieter Teichrib, Moritz Schulze Darup:
Tailored neural networks for learning optimal value functions in MPC. CoRR abs/2112.03975 (2021)
2010 – 2019
- 2019
- [c1]Moritz Schulze Darup, Dieter Teichrib:
Efficient computation of RPI sets for tube-based robust MPC. ECC 2019: 325-330
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