Amon Lahr

20 papers Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph Neural Model Predictive Control for High-Dimensional Systems.
CoRR
Patrick Benito Eberhard, Luis A. Pabon, Daniele Gammelli, Hugo Buurmeijer, Amon Lahr, Mark Leone, Andrea Carron, Marco Pavone
2026 J jnl
Optimal uncertainty bounds for multivariate kernel regression under bounded noise: A Gaussian process-based dual function.
CoRR
Amon Lahr, Anna Scampicchio, Johannes Köhler, Melanie N. Zeilinger
2026 J jnl
Real-Time Online Learning for Model Predictive Control using a Spatio-Temporal Gaussian Process Approximation.
CoRR
Lars Bartels, Amon Lahr, Andrea Carron, Melanie N. Zeilinger
2025 J jnl
A robust and adaptive MPC formulation for Gaussian process models.
CoRR
Mathieu Dubied, Amon Lahr, Melanie N. Zeilinger, Johannes Köhler
2025 J jnl
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics.
CoRR
Manish Prajapat, Johannes Köhler, Amon Lahr, Andreas Krause, Melanie N. Zeilinger
2025 J jnl
Gaussian processes for dynamics learning in model predictive control.
Annu. Rev. Control.
Anna Scampicchio, Elena Arcari, Amon Lahr, Melanie N. Zeilinger
2025 J jnl
Gaussian processes for dynamics learning in model predictive control.
CoRR
Anna Scampicchio, Elena Arcari, Amon Lahr, Melanie N. Zeilinger
2025 J jnl
Inverse Optimal Control With Constraint Relaxation.
IEEE Control. Syst. Lett.
Rahel Rickenbach, Amon Lahr, Melanie N. Zeilinger
2025 J jnl
Inverse Optimal Control with Constraint Relaxation.
CoRR
Rahel Rickenbach, Amon Lahr, Melanie N. Zeilinger
2025 J jnl
Multi-Timescale Model Predictive Control for Slow-Fast Systems.
CoRR
Lukas Schroth, Daniel Morton, Amon Lahr, Daniele Gammelli, Andrea Carron, Marco Pavone
2025 J jnl
Optimal kernel regression bounds under energy-bounded noise.
CoRR
Amon Lahr, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger
2025 J jnl
Unifying Sequential Quadratic Programming and Linear-Parameter-Varying Algorithms for Real-Time Model Predictive Control.
CoRR
Kristóf Floch, Amon Lahr, Roland Tóth, Melanie N. Zeilinger
2024 — conf
Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados.
ECC
Jonathan Frey, Yunfan Gao, Florian Messerer, Amon Lahr, Melanie N. Zeilinger, Moritz Diehl
2024 J jnl
Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions.
CoRR
Antoine P. Leeman, Johannes Köhler, Florian Messerer, Amon Lahr, Moritz Diehl, Melanie N. Zeilinger
2024 J jnl
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control.
CoRR
Amon Lahr, Joshua Näf, Kim Peter Wabersich, Jonathan Frey, Pascal Siehl, Andrea Carron, Moritz Diehl, Melanie N. Zeilinger
2024 J jnl
Probabilistic ODE Solvers for Integration Error-Aware Numerical Optimal Control.
CoRR
Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger
2024 — conf
Probabilistic ODE solvers for integration error-aware numerical optimal control.
L4DC
Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger
2024 — conf
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.
CDC
Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger
2024 J jnl
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.
CoRR
Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger
2023 J jnl
Zero-order optimization for Gaussian process-based model predictive control.
Eur. J. Control
Amon Lahr, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger