Amon Lahr

According to our database, Amon Lahr authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Real-Time Online Learning for Model Predictive Control using a Spatio-Temporal Gaussian Process Approximation.

Lars Bartels, Amon Lahr, Andrea Carron, Melanie N. Zeilinger

CoRR, March, 2026

Optimal uncertainty bounds for multivariate kernel regression under bounded noise: A Gaussian process-based dual function.

Amon Lahr, Anna Scampicchio, Johannes Köhler, Melanie N. Zeilinger

CoRR, March, 2026

Graph Neural Model Predictive Control for High-Dimensional Systems.

Patrick Benito Eberhard, Luis A. Pabon, Daniele Gammelli, Hugo Buurmeijer, Amon Lahr, Mark Leone, Andrea Carron, Marco Pavone

CoRR, February, 2026

2025

Multi-Timescale Model Predictive Control for Slow-Fast Systems.

Lukas Schroth, Daniel Morton, Amon Lahr, Daniele Gammelli, Andrea Carron, Marco Pavone

CoRR, November, 2025

Unifying Sequential Quadratic Programming and Linear-Parameter-Varying Algorithms for Real-Time Model Predictive Control.

Kristóf Floch, Amon Lahr, Roland Tóth, Melanie N. Zeilinger

CoRR, November, 2025

A robust and adaptive MPC formulation for Gaussian process models.

Mathieu Dubied, Amon Lahr, Melanie N. Zeilinger, Johannes Köhler

CoRR, July, 2025

Optimal kernel regression bounds under energy-bounded noise.

Amon Lahr, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger

CoRR, May, 2025

Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics.

Manish Prajapat, Johannes Köhler, Amon Lahr, Andreas Krause, Melanie N. Zeilinger

CoRR, May, 2025

Inverse Optimal Control With Constraint Relaxation.

Rahel Rickenbach, Amon Lahr, Melanie N. Zeilinger

IEEE Control. Syst. Lett., 2025

Gaussian processes for dynamics learning in model predictive control.

Anna Scampicchio, Elena Arcari, Amon Lahr, Melanie N. Zeilinger

Annu. Rev. Control., 2025

2024

L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control.

Amon Lahr, Joshua Näf, Kim Peter Wabersich, Jonathan Frey, Pascal Siehl, Andrea Carron, Moritz Diehl, Melanie N. Zeilinger

CoRR, 2024

Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions.

Antoine P. Leeman, Johannes Köhler, Florian Messerer, Amon Lahr, Moritz Diehl, Melanie N. Zeilinger

CoRR, 2024

Probabilistic ODE solvers for integration error-aware numerical optimal control.

Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados.

Jonathan Frey, Yunfan Gao, Florian Messerer, Amon Lahr, Melanie N. Zeilinger, Moritz Diehl

Proceedings of the European Control Conference, 2024

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.

Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Zero-order optimization for Gaussian process-based model predictive control.

Amon Lahr, Andrea Zanelli, Andrea Carron, Melanie N. Zeilinger

Eur. J. Control, November, 2023