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 (1), 269-296, 2020 | 644 | 2020 |
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems KP Wabersich, MN Zeilinger Automatica 129, 109597, 2021 | 205* | 2021 |
Linear model predictive safety certification for learning-based control KP Wabersich, MN Zeilinger 2018 IEEE Conference on Decision and Control (CDC), 7130-7135, 2018 | 173 | 2018 |
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 | 100 | 2021 |
Recursively feasible stochastic model predictive control using indirect feedback L Hewing, KP Wabersich, MN Zeilinger Automatica 119, 109095, 2020 | 78 | 2020 |
Fusion of machine learning and MPC under uncertainty: What advances are on the horizon? A Mesbah, KP Wabersich, AP Schoellig, MN Zeilinger, S Lucia, ... 2022 American Control Conference (ACC), 342-357, 2022 | 45 | 2022 |
Data-driven safety filters: Hamilton-jacobi reachability, control barrier functions, and predictive methods for uncertain systems KP Wabersich, AJ Taylor, JJ Choi, K Sreenath, CJ Tomlin, AD Ames, ... IEEE Control Systems Magazine 43 (5), 137-177, 2023 | 41 | 2023 |
Wiggling through complex traffic: Planning trajectories constrained by predictions J Schlechtriemen, KP Wabersich, KD Kuhnert 2016 IEEE Intelligent Vehicles Symposium (IV), 1293-1300, 2016 | 41 | 2016 |
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 | 40 | 2021 |
Predictive control barrier functions: Enhanced safety mechanisms for learning-based control KP Wabersich, MN Zeilinger IEEE Transactions on Automatic Control 68 (5), 2638-2651, 2022 | 38 | 2022 |
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 | 38 | 2018 |
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 | 33 | 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 | 26 | 2020 |
Cautious bayesian MPC: regret analysis and bounds on the number of unsafe learning episodes KP Wabersich, MN Zeilinger IEEE Transactions on Automatic Control 68 (8), 4896-4903, 2022 | 20* | 2022 |
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 | 19 | 2020 |
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 | 15 | 2022 |
State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs? J Köhler, KP Wabersich, J Berberich, MN Zeilinger 2022 IEEE 61st Conference on Decision and Control (CDC), 491-498, 2022 | 13 | 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 | 13* | 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 | 12 | 2021 |
A soft constrained MPC formulation enabling learning from trajectories with constraint violations KP Wabersich, R Krishnadas, MN Zeilinger IEEE Control Systems Letters 6, 980-985, 2021 | 11 | 2021 |