Kim Peter Wabersich
Orcid: 0000-0002-8554-1484
According to our database1,
Kim Peter Wabersich
authored at least 30 papers
between 2015 and 2024.
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Bibliography
2024
Predictive stability filters for nonlinear dynamical systems affected by disturbances.
CoRR, 2024
Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees.
CoRR, 2024
2023
Cautious Bayesian MPC: Regret Analysis and Bounds on the Number of Unsafe Learning Episodes.
IEEE Trans. Autom. Control., August, 2023
Predictive Control Barrier Functions: Enhanced Safety Mechanisms for Learning-Based Control.
IEEE Trans. Autom. Control., May, 2023
LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering.
Proceedings of the European Control Conference, 2023
Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter.
Proceedings of the European Control Conference, 2023
2022
IEEE Trans. Autom. Control., 2022
A Soft Constrained MPC Formulation Enabling Learning From Trajectories With Constraint Violations.
IEEE Control. Syst. Lett., 2022
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers.
Proceedings of the Learning for Dynamics and Control Conference, 2022
State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs?
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?
Proceedings of the American Control Conference, 2022
2021
Plug-and-Play Distributed Safety Verification for Linear Control Systems With Bounded Uncertainties.
IEEE Trans. Control. Netw. Syst., 2021
IEEE Robotics Autom. Lett., 2021
Adaptive Model Predictive Safety Certification for Learning-based Control - Extended Version.
CoRR, 2021
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems.
Autom., 2021
Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction.
Proceedings of the 2021 European Control Conference, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Performance and safety of Bayesian model predictive control: Scalable model-based RL with guarantees.
CoRR, 2020
Autom., 2020
Annu. Rev. Control. Robotics Auton. Syst., 2020
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
2019
CoRR, 2019
2018
Safe exploration of nonlinear dynamical systems: A predictive safety filter for reinforcement learning.
CoRR, 2018
Scalable synthesis of safety certificates from data with application to learning-based control.
Proceedings of the 16th European Control Conference, 2018
Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance.
Proceedings of the 16th European Control Conference, 2018
On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems.
Proceedings of the 16th European Control Conference, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2016
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down.
CoRR, 2016
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
2015
Automatic testing and minimax optimization of system parameters for best worst-case performance.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015