Kim Peter Wabersich

50 papers A 1B 1C 1Journal 34Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Contract-based hierarchical control using predictive feasibility value functions. CoRR Felix Berkel, Kim Peter Wabersich, Hongxi Xiang, Elias Milios
2025	J	`jnl`	Set-Based Control Barrier Functions and Safety Filters. CoRR Kim Peter Wabersich, Felix Berkel, Felix Gruber, Sven Reimann
2025	J	`jnl`	Statistically Consistent Approximate Model Predictive Control. CoRR Elias Milios, Kim Peter Wabersich, Felix Berkel, Felix Gruber, Melanie N. Zeilinger
2025	J	`jnl`	Statistically Consistent Approximate Model Predictive Control. IEEE Control. Syst. Lett. Elias Milios, Kim Peter Wabersich, Felix Berkel, Felix Gruber, Melanie N. Zeilinger
2024	J	`jnl`	L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control. CoRR Amon Lahr, Joshua Näf, Kim Peter Wabersich, Jonathan Frey, Pascal Siehl, Andrea Carron, Moritz Diehl, Melanie N. Zeilinger
2024	J	`jnl`	Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees. CoRR Nicolas Chatzikiriakos, Kim Peter Wabersich, Felix Berkel, Patricia Pauli, Andrea Iannelli
2024	—	`conf`	Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees. L4DC Nicolas Chatzikiriakos, Kim Peter Wabersich, Felix Berkel, Patricia Pauli, Andrea Iannelli
2024	J	`jnl`	Predictive stability filters for nonlinear dynamical systems affected by disturbances. CoRR Alexandre Didier, Andrea Zanelli, Kim Peter Wabersich, Melanie N. Zeilinger
2024	—	`conf`	Stability Mechanisms for Predictive Safety Filters. CDC Elias Milios, Kim Peter Wabersich, Felix Berkel, Lukas Schwenkel
2024	J	`jnl`	Stability Mechanisms for Predictive Safety Filters. CoRR Elias Milios, Kim Peter Wabersich, Felix Berkel, Lukas Schwenkel
2023	—	`conf`	Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter. ECC Alexandre Didier, Robin C. Jacobs, Jerome Sieber, Kim Peter Wabersich, Melanie N. Zeilinger
2023	J	`jnl`	Cautious Bayesian MPC: Regret Analysis and Bounds on the Number of Unsafe Learning Episodes. IEEE Trans. Autom. Control. Kim Peter Wabersich, Melanie N. Zeilinger
2023	—	`conf`	LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering. ECC Simon Muntwiler, Kim Peter Wabersich, Robert Miklos, Melanie N. Zeilinger
2023	J	`jnl`	Predictive Control Barrier Functions: Enhanced Safety Mechanisms for Learning-Based Control. IEEE Trans. Autom. Control. Kim Peter Wabersich, Melanie N. Zeilinger
2022	J	`jnl`	A Soft Constrained MPC Formulation Enabling Learning From Trajectories With Constraint Violations. IEEE Control. Syst. Lett. Kim Peter Wabersich, Raamadaas Krishnadas, Melanie N. Zeilinger
2022	J	`jnl`	Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter. CoRR Alexandre Didier, Robin C. Jacobs, Jerome Sieber, Kim Peter Wabersich, Melanie N. Zeilinger
2022	C	`conf`	Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon? ACC Ali Mesbah, Kim Peter Wabersich, Angela P. Schoellig, Melanie N. Zeilinger, Sergio Lucia, Thomas A. Badgwell, Joel A. Paulson
2022	J	`jnl`	LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering. CoRR Simon Muntwiler, Kim Peter Wabersich, Robert Miklos, Melanie N. Zeilinger
2022	—	`conf`	Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers. L4DC Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger
2022	J	`jnl`	Probabilistic Model Predictive Safety Certification for Learning-Based Control. IEEE Trans. Autom. Control. Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger
2022	—	`conf`	State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs? CDC Johannes Köhler, Kim Peter Wabersich, Julian Berberich, Melanie N. Zeilinger
2022	J	`jnl`	State space models vs. multi-step predictors in predictive control: Are state space models complicating safe data-driven designs? CoRR Johannes Köhler, Kim Peter Wabersich, Julian Berberich, Melanie N. Zeilinger
2021	J	`jnl`	A Predictive Safety Filter for Learning-Based Racing Control. IEEE Robotics Autom. Lett. Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
2021	J	`jnl`	A predictive safety filter for learning-based control of constrained nonlinear dynamical systems. Autom. Kim Peter Wabersich, Melanie N. Zeilinger
2021	J	`jnl`	A predictive safety filter for learning-based racing control. CoRR Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
2021	J	`jnl`	Adaptive Model Predictive Safety Certification for Learning-based Control - Extended Version. CoRR Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger
2021	—	`conf`	Adaptive Model Predictive Safety Certification for Learning-based Control. CDC Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger
2021	—	`conf`	Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction. ECC Simon Muntwiler, Kim Peter Wabersich, Lukas Hewing, Melanie N. Zeilinger
2021	J	`jnl`	Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers. CoRR Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger
2021	J	`jnl`	Plug-and-Play Distributed Safety Verification for Linear Control Systems With Bounded Uncertainties. IEEE Trans. Control. Netw. Syst. Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger
2021	J	`jnl`	Predictive control barrier functions: Enhanced safety mechanisms for learning-based control. CoRR Kim Peter Wabersich, Melanie N. Zeilinger
2020	—	`conf`	Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling. L4DC Kim Peter Wabersich, Melanie N. Zeilinger
2020	J	`jnl`	Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling. CoRR Kim Peter Wabersich, Melanie N. Zeilinger
2020	J	`jnl`	Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction. CoRR Simon Muntwiler, Kim Peter Wabersich, Lukas Hewing, Melanie N. Zeilinger
2020	J	`jnl`	Learning-Based Model Predictive Control: Toward Safe Learning in Control. Annu. Rev. Control. Robotics Auton. Syst. Lukas Hewing, Kim Peter Wabersich, Marcel Menner, Melanie N. Zeilinger
2020	J	`jnl`	Performance and safety of Bayesian model predictive control: Scalable model-based RL with guarantees. CoRR Kim Peter Wabersich, Melanie N. Zeilinger
2020	J	`jnl`	Recursively feasible stochastic model predictive control using indirect feedback. Autom. Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger
2019	J	`jnl`	Distributed Model Predictive Safety Certification for Learning-based Control. CoRR Simon Muntwiler, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger
2019	J	`jnl`	Probabilistic model predictive safety certification for learning-based control. CoRR Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger
2018	—	`conf`	Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance. ECC Kim Peter Wabersich, Florian A. Bayer, Matthias Albrecht Müller, Frank Allgöwer
2018	—	`conf`	Linear Model Predictive Safety Certification for Learning-Based Control. CDC Kim Peter Wabersich, Melanie N. Zeilinger
2018	J	`jnl`	Linear model predictive safety certification for learning-based control. CoRR Kim Peter Wabersich, Melanie N. Zeilinger
2018	—	`conf`	On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems. ECC Lukas Hewing, Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger
2018	J	`jnl`	Recursively Feasible Stochastic Model Predictive Control using Indirect Feedback. CoRR Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger
2018	J	`jnl`	Safe exploration of nonlinear dynamical systems: A predictive safety filter for reinforcement learning. CoRR Kim Peter Wabersich, Melanie N. Zeilinger
2018	—	`conf`	Scalable synthesis of safety certificates from data with application to learning-based control. ECC Kim Peter Wabersich, Melanie N. Zeilinger
2017	J	`jnl`	Scalable synthesis of safety certificates from data with application to learning-based control. CoRR Kim Peter Wabersich, Melanie N. Zeilinger
2016	J	`jnl`	Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down. CoRR Kim Peter Wabersich, Marc Toussaint
2016	B	`conf`	Wiggling through complex traffic: Planning trajectories constrained by predictions. Intelligent Vehicles Symposium Julian Schlechtriemen, Kim Peter Wabersich, Klaus-Dieter Kuhnert
2015	A	`conf`	Automatic testing and minimax optimization of system parameters for best worst-case performance. IROS Kim Peter Wabersich, Marc Toussaint