| Learning-based model predictive control: Toward safe learning in control L Hewing, KP Wabersich, M Menner, MN Zeilinger Annual Review of Control, Robotics, and Autonomous Systems 3, 269-296, 2020 | 217 | 2020 |
| Linear model predictive safety certification for learning-based control KP Wabersich, MN Zeilinger 2018 IEEE Conference on Decision and Control (CDC), 7130-7135, 2018 | 93 | 2018 |
| A predictive safety filter for learning-based control of constrained nonlinear dynamical systems KP Wabersich, MN Zeilinger Automatica 129, 109597, 2021 | 74* | 2021 |
| Probabilistic model predictive safety certification for learning-based control KP Wabersich, L Hewing, A Carron, MN Zeilinger IEEE Transactions on Automatic Control 67 (1), 176-188, 2021 | 35 | 2021 |
| Scalable synthesis of safety certificates from data with application to learning-based control KP Wabersich, MN Zeilinger 2018 European Control Conference (ECC), 1691-1697, 2018 | 33 | 2018 |
| Recursively feasible stochastic model predictive control using indirect feedback L Hewing, KP Wabersich, MN Zeilinger Automatica 119, 109095, 2020 | 31 | 2020 |
| Wiggling through complex traffic: Planning trajectories constrained by predictions J Schlechtriemen, KP Wabersich, KD Kuhnert 2016 IEEE Intelligent Vehicles Symposium (IV), 1293-1300, 2016 | 29 | 2016 |
| On a correspondence between probabilistic and robust invariant sets for linear systems L Hewing, A Carron, KP Wabersich, MN Zeilinger 2018 European Control Conference (ECC), 1642-1647, 2018 | 22 | 2018 |
| Distributed model predictive safety certification for learning-based control S Muntwiler, KP Wabersich, A Carron, MN Zeilinger IFAC-PapersOnLine 53 (2), 5258-5265, 2020 | 13 | 2020 |
| Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling KP Wabersich, M Zeilinger Learning for Dynamics and Control, 455-464, 2020 | 9 | 2020 |
| Performance and safety of Bayesian model predictive control: Scalable model-based RL with guarantees KP Wabersich, MN Zeilinger arXiv preprint arXiv:2006.03483, 2020 | 7 | 2020 |
| Economic model predictive control for robust periodic operation with guaranteed closed-loop performance KP Wabersich, FA Bayer, MA Müller, F Allgüwer 2018 European Control Conference (ECC), 507-513, 2018 | 6 | 2018 |
| Advancing Bayesian optimization: The mixed-global-local (MGL) kernel and length-scale cool down KP Wabersich, M Toussaint arXiv preprint arXiv:1612.03117, 2016 | 6 | 2016 |
| Automatic testing and minimax optimization of system parameters for best worst-case performance KP Wabersich, M Toussaint 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 6 | 2015 |
| A predictive safety filter for learning-based racing control B Tearle, KP Wabersich, A Carron, MN Zeilinger IEEE Robotics and Automation Letters 6 (4), 7635-7642, 2021 | 4 | 2021 |
| Predictive control barrier functions: Enhanced safety mechanisms for learning-based control KP Wabersich, MN Zeilinger IEEE Transactions on Automatic Control, 2022 | 3 | 2022 |
| Data-driven distributed stochastic model predictive control with closed-loop chance constraint satisfaction S Muntwiler, KP Wabersich, L Hewing, MN Zeilinger 2021 European Control Conference (ECC), 210-215, 2021 | 3 | 2021 |
| Nonlinear learning‐based model predictive control supporting state and input dependent model uncertainty estimates KP Wabersich, MN Zeilinger International Journal of Robust and Nonlinear Control 31 (18), 8897-8915, 2021 | 2 | 2021 |
| Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers S Muntwiler, KP Wabersich, MN Zeilinger Learning for Dynamics and Control Conference, 153-165, 2022 | 1 | 2022 |
| Adaptive Model Predictive Safety Certification for Learning-based Control A Didier, KP Wabersich, MN Zeilinger 2021 60th IEEE Conference on Decision and Control (CDC), 809-815, 2021 | 1 | 2021 |
Melanie ZeilingerAssistant Professor, ETH ZurichBestätigte E-Mail-Adresse bei ethz.ch
