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2020 – today
- 2022
[j7]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): 176-188 (2022)- [c10]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: 10555-10562 - [i12]Jesús Ramírez, Lukas Hewing:
Sequential Convex Programming for Optimal Line of Sight Steering in Agile Missions. CoRR abs/2206.06061 (2022) - 2021
- [c9]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: 210-215 - [c8]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: 781-786 - [i11]Lukas P. Fröhlich, Christian Küttel, Elena Arcari, Lukas Hewing, Melanie N. Zeilinger, Andrea Carron:
Model Learning and Contextual Controller Tuning for Autonomous Racing. CoRR abs/2110.02710 (2021) - 2020
- [j6]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: 269-296 (2020) - [j5]Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger:
Recursively feasible stochastic model predictive control using indirect feedback. Autom. 119: 109095 (2020) - [j4]Lukas Hewing, Melanie N. Zeilinger:
Scenario-Based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control. IEEE Control. Syst. Lett. 4(2): 450-455 (2020) - [j3]Lukas Hewing, Juraj Kabzan, Melanie N. Zeilinger:
Cautious Model Predictive Control Using Gaussian Process Regression. IEEE Trans. Control. Syst. Technol. 28(6): 2736-2743 (2020) - [c7]Lukas Hewing, Melanie N. Zeilinger:
Performance Analysis of Stochastic Model Predictive Control with Direct and Indirect Feedback. CDC 2020: 672-678 - [c6]Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger:
On Simulation and Trajectory Prediction with Gaussian Process Dynamics. L4DC 2020: 424-434 - [c5]Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger:
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty. L4DC 2020: 894-903 - [i10]Simon Muntwiler, Kim Peter Wabersich, Lukas Hewing, Melanie N. Zeilinger:
Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction. CoRR abs/2004.02907 (2020) - [i9]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 abs/2009.01530 (2020)
2010 – 2019
- 2019
- [j2]Juraj Kabzan, Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger:
Learning-Based Model Predictive Control for Autonomous Racing. IEEE Robotics Autom. Lett. 4(4): 3363-3370 (2019) - [j1]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): 3758-3765 (2019) - [i8]Kim Peter Wabersich, Lukas Hewing, Andrea Carron, Melanie N. Zeilinger:
Probabilistic model predictive safety certification for learning-based control. CoRR abs/1906.10417 (2019) - [i7]Elena Arcari, Lukas Hewing, Melanie N. Zeilinger:
An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control. CoRR abs/1911.03728 (2019) - [i6]Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger:
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty. CoRR abs/1912.10114 (2019) - [i5]Lukas Hewing, Elena Arcari, Lukas P. Fröhlich, Melanie N. Zeilinger:
On Simulation and Trajectory Prediction with Gaussian Process Dynamics. CoRR abs/1912.10900 (2019) - 2018
- [c4]Lukas Hewing, Melanie N. Zeilinger:
Stochastic Model Predictive Control for Linear Systems Using Probabilistic Reachable Sets. CDC 2018: 5182-5188 - [c3]Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger:
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars. ECC 2018: 1341-1348 - [c2]Lukas Hewing, Andrea Carron, Kim Peter Wabersich, Melanie N. Zeilinger:
On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems. ECC 2018: 1642-1647 - [i4]Lukas Hewing, Melanie N. Zeilinger:
Stochastic Model Predictive Control for Linear Systems using Probabilistic Reachable Sets. CoRR abs/1805.07145 (2018) - [i3]Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger:
Recursively Feasible Stochastic Model Predictive Control using Indirect Feedback. CoRR abs/1812.06860 (2018) - 2017
- [i2]Lukas Hewing, Melanie N. Zeilinger:
Cautious Model Predictive Control using Gaussian Process Regression. CoRR abs/1705.10702 (2017) - [i1]Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger:
Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars. CoRR abs/1711.06586 (2017) - 2016
- [c1]Berno J. E. Misgeld, Lin Liu, Lukas Hewing, Steffen Leonhardt:
Positive real dynamic output feedback controller synthesis. MED 2016: 88-93
Coauthor Index
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