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Lukas Hewing
Lukas Hewing
The Exploration Company, ETH Zurich
Correu electrònic verificat a ethz.ch
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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, 2020
8392020
Cautious model predictive control using Gaussian process regression
L Hewing, J Kabzan, MN Zeilinger
IEEE Transactions on Control Systems Technology, 2019
6562019
Learning-Based Model Predictive Control for Autonomous Racing
J Kabzan, L Hewing, A Liniger, MN Zeilinger
IEEE Robotics and Automation Letters 4 (4), 3363-3370, 2019
4802019
Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm
A Carron, E Arcari, M Wermelinger, L Hewing, M Hutter, MN Zeilinger
IEEE Robotics and Automation Letters 4 (4), 3758-3765, 2019
2132019
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars
L Hewing, A Liniger, MN Zeilinger
European Control Conference (ECC 2018), 2018
1742018
Probabilistic model predictive safety certification for learning-based control
KP Wabersich, L Hewing, A Carron, MN Zeilinger
IEEE Transactions on Automatic Control, 2021
1282021
Stochastic Model Predictive Control for Linear Systems using Probabilistic Reachable Sets
L Hewing, MN Zeilinger
Conference on Decision and Control (CDC), 2018
1002018
Recursively feasible stochastic model predictive control using indirect feedback
L Hewing, KP Wabersich, MN Zeilinger
Automatica 119, 109095, 2020
972020
Scenario-based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control
L Hewing, MN Zeilinger
IEEE Control System Letters 4 (2), 450-455, 2020
682020
On Simulation and Trajectory Prediction with Gaussian Process Dynamics
L Hewing, E Arcari, LP Fröhlich, MN Zeilinger
Learning for Dynamics and Control, 424-434, 2020
552020
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
412018
Contextual Tuning of Model Predictive Control for Autonomous Racing
LP Fröhlich, C Küttel, E Arcari, L Hewing, MN Zeilinger, A Carron
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
222022
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty
E Arcari, L Hewing, M Schlichting, M Zeilinger
Learning for Dynamics and Control, 894-903, 2020
222020
Closed-loop positive real optimal control of variable stiffness actuators
BJE Misgeld, L Hewing, L Liu, S Leonhardt
Control Engineering Practice 82, 142-150, 2019
202019
An approximate dynamic programming approach for dual stochastic model predictive control
E Arcari, L Hewing, MN Zeilinger
IFAC-PapersOnLine 53 (2), 8105-8111, 2020
152020
Model Learning and Contextual Controller Tuning for Autonomous Racing
LP Fröhlich, C Küttel, E Arcari, L Hewing, MN Zeilinger, A Carron
arXiv preprint arXiv:2110.02710, 2021
132021
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
92021
Volume control of low-cost ventilator with automatic set-point adaptation
L Hewing, M Menner, N Tachatos, MS Daners, C Du Pasquier, TS Lumpe, ...
2021 European Control Conference (ECC), 781-786, 2021
72021
Performance Analysis of Stochastic Model Predictive Control with Direct and Indirect Feedback
L Hewing, MN Zeilinger
2020 59th IEEE Conference on Decision and Control (CDC), 672-678, 2020
72020
Robust gain-scheduled control of variable stiffness actuators
BJE Misgeld, L Hewing, L Liu, S Leonhardt
IFAC-PapersOnLine 50 (1), 8804-8809, 2017
72017
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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