Lukas Hewing

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 29

Top Topics

Model Predictive Control

Top Venues

IEEE Robotics Autom. Lett.

Publications

Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron
Contextual Tuning of Model Predictive Control for Autonomous Racing. IROS (2022)
Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger
Probabilistic Model Predictive Safety Certification for Learning-Based Control. IEEE Trans. Autom. Control. 67 (1) (2022)
Jesús Ramírez, Lukas Hewing
Sequential Convex Programming for Optimal Line of Sight Steering in Agile Missions. CoRR (2022)
Simon Muntwiler, Kim Peter Wabersich, Lukas Hewing, Melanie N. Zeilinger
Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction. ECC (2021)
Lukas Hewing, Marcel Menner, Nikolaos Tachatos, Marianne Schmid Daners, Cosima du Pasquier, Thomas S. Lumpe, Kristina Shea, Andrea Carron, Melanie N. Zeilinger
Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation. ECC (2021)
Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron
Model Learning and Contextual Controller Tuning for Autonomous Racing. CoRR (2021)
Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger
On Simulation and Trajectory Prediction with Gaussian Process Dynamics. L4DC (2020)
Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty. L4DC (2020)
Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger
Recursively feasible stochastic model predictive control using indirect feedback. Autom. 119 (2020)
Lukas Hewing, Juraj Kabzan, Melanie N. Zeilinger
Cautious Model Predictive Control Using Gaussian Process Regression. IEEE Trans. Control. Syst. Technol. 28 (6) (2020)
Lukas Hewing, Melanie N. Zeilinger
Scenario-Based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control. IEEE Control. Syst. Lett. 4 (2) (2020)
Simon Muntwiler, Kim Peter Wabersich, Lukas Hewing, Melanie N. Zeilinger
Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction. CoRR (2020)
Lukas Hewing, Melanie N. Zeilinger
Performance Analysis of Stochastic Model Predictive Control with Direct and Indirect Feedback. CDC (2020)
Lukas Hewing, Marcel Menner, Nikolaos Tachatos, Marianne Schmid Daners, Cosima du Pasquier, Thomas S. Lumpe, Kristina Shea, Andrea Carron, Melanie N. Zeilinger
Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation. CoRR (2020)
Lukas Hewing, Kim Peter Wabersich, Marcel Menner, Melanie N. Zeilinger
Learning-Based Model Predictive Control: Toward Safe Learning in Control. Annu. Rev. Control. Robotics Auton. Syst. 3 (2020)
Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger
On Simulation and Trajectory Prediction with Gaussian Process Dynamics. CoRR (2019)
Juraj Kabzan, Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger
Learning-Based Model Predictive Control for Autonomous Racing. IEEE Robotics Autom. Lett. 4 (4) (2019)
Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty. CoRR (2019)
Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger
Probabilistic model predictive safety certification for learning-based control. CoRR (2019)
Elena Arcari, Lukas Hewing, Melanie N. Zeilinger
An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control. CoRR (2019)
Andrea Carron, Elena Arcari, Martin Wermelinger, Lukas Hewing, Marco Hutter, Melanie N. Zeilinger
Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm. IEEE Robotics Autom. Lett. 4 (4) (2019)
Lukas Hewing, Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger
On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems. ECC (2018)
Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger
Recursively Feasible Stochastic Model Predictive Control using Indirect Feedback. CoRR (2018)
Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars. ECC (2018)
Lukas Hewing, Melanie N. Zeilinger
Stochastic Model Predictive Control for Linear Systems Using Probabilistic Reachable Sets. CDC (2018)
Lukas Hewing, Melanie N. Zeilinger
Stochastic Model Predictive Control for Linear Systems using Probabilistic Reachable Sets. CoRR (2018)
Lukas Hewing, Melanie N. Zeilinger
Cautious Model Predictive Control using Gaussian Process Regression. CoRR (2017)
Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger
Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars. CoRR (2017)
Berno J. E. Misgeld, Lin Liu, Lukas Hewing, Steffen Leonhardt
Positive real dynamic output feedback controller synthesis. MED (2016)