| Zero-order optimization for Gaussian process-based model predictive control A Lahr, A Zanelli, A Carron, MN Zeilinger European Journal of Control 74, 100862, 2023 | 12 | 2023 |
| Fast system level synthesis: Robust model predictive control using Riccati recursions AP Leeman, J Kohler, F Messerer, A Lahr, M Diehl, MN Zeilinger IFAC-PapersOnLine 58 (18), 173-180, 2024 | 7 | 2024 |
| Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework M Prajapat, A Lahr, J Köhler, A Krause, MN Zeilinger arXiv preprint arXiv:2409.08616, 2024 | 3 | 2024 |
| Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados J Frey, Y Gao, F Messerer, A Lahr, M Zeilinger, M Diehl 2024 European Control Conference (ECC), 3470-3475, 2024 | 3 | 2024 |
| L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control A Lahr, J Näf, KP Wabersich, J Frey, P Siehl, A Carron, M Diehl, ... arXiv preprint arXiv:2411.19258, 2024 | 1 | 2024 |
| Probabilistic ODE solvers for integration error-aware numerical optimal control A Lahr, F Tronarp, N Bosch, J Schmidt, P Hennig, MN Zeilinger 6th Annual Learning for Dynamics & Control Conference, 1018-1032, 2024 | 1 | 2024 |
| Gaussian processes for dynamics learning in model predictive control A Scampicchio, E Arcari, A Lahr, MN Zeilinger arXiv preprint arXiv:2502.02310, 2025 | | 2025 |
