Lukas Hewing
Lukas Hewing
Vahvistettu sähköpostiosoite verkkotunnuksessa
Cautious model predictive control using Gaussian process regression
L Hewing, J Kabzan, MN Zeilinger
IEEE Transactions on Control Systems Technology, 2019
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
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars
L Hewing, A Liniger, MN Zeilinger
European Control Conference (ECC 2018), 2018
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
Stochastic Model Predictive Control for Linear Systems using Probabilistic Reachable Sets
L Hewing, MN Zeilinger
Conference on Decision and Control (CDC), 2018
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
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
Probabilistic model predictive safety certification for learning-based control
KP Wabersich, L Hewing, A Carron, MN Zeilinger
IEEE Transactions on Automatic Control, 2021
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
Recursively feasible stochastic model predictive control using indirect feedback
L Hewing, KP Wabersich, MN Zeilinger
Automatica 119, 109095, 2020
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
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
An approximate dynamic programming approach for dual stochastic model predictive control
E Arcari, L Hewing, MN Zeilinger
IFAC-PapersOnLine 53 (2), 8105-8111, 2020
H∞ Optimal controller design with closed-loop positive real constraints
L Hewing, S Leonhardt, P Apkarian, BJE Misgeld
Journal of Dynamic Systems, Measurement, and Control 139 (9), 094502, 2017
Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation
L Hewing, M Menner, N Tachatos, MS Daners, C Pasquier, TS Lumpe, ...
arXiv preprint arXiv:2009.01530, 2020
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
Robust gain-scheduled control of variable stiffness actuators
BJE Misgeld, L Hewing, L Liu, S Leonhardt
IFAC-PapersOnLine 50 (1), 8804-8809, 2017
Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction
S Muntwiler, KP Wabersich, L Hewing, MN Zeilinger
arXiv preprint arXiv:2004.02907, 2020
Positive real dynamic output feedback controller synthesis
BJE Misgeld, L Liu, L Hewing, S Leonhardt
2016 24th Mediterranean Conference on Control and Automation (MED), 88-93, 2016
Systematic Design, Control, and Parametric Testing of an Automated Resuscitator Bag Mechanical Ventilator
C du Pasquier, L Hewing, N Steffen, TS Lumpe, N Tatchatos, M Menner, ...
Journal of Mechanical Design 143 (12), 125001, 2021
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