Thomas Beckers
Thomas Beckers
Verified email at seas.upenn.edu - Homepage
Title
Cited by
Cited by
Year
Stable gaussian process based tracking control of euler–lagrange systems
T Beckers, D Kulić, S Hirche
Automatica 103, 390-397, 2019
452019
Feedback linearization using Gaussian processes
J Umlauft, T Beckers, M Kimmel, S Hirche
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5249-5255, 2017
362017
Equilibrium distributions and stability analysis of Gaussian process state space models
T Beckers, S Hirche
2016 IEEE 55th Conference on Decision and Control (CDC), 6355-6361, 2016
232016
Stability of Gaussian process state space models
T Beckers, S Hirche
2016 European Control Conference (ECC), 2275-2281, 2016
212016
Stable model-based control with Gaussian process regression for robot manipulators
T Beckers, J Umlauft, S Hirche
IFAC-PapersOnLine 50 (1), 3877-3884, 2017
202017
Scenario-based optimal control for Gaussian process state space models
J Umlauft, T Beckers, S Hirche
2018 European Control Conference (ECC), 1386-1392, 2018
182018
Stable Gaussian process based tracking control of Lagrangian systems
T Beckers, J Umlauft, D Kulic, S Hirche
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5180-5185, 2017
162017
Mean square prediction error of misspecified Gaussian process models
T Beckers, J Umlauft, S Hirche
2018 IEEE Conference on Decision and Control (CDC), 1162-1167, 2018
152018
A slotted waveguide setup as scaled instrument-landing-system for measuring scattering of an A380 and large objects
R Geise, J Schueuer, L Thiele, K Notté, T Beckers, A Enders
Proceedings of the Fourth European Conference on Antennas and Propagation, 1-5, 2010
92010
Localized active learning of Gaussian process state space models
A Capone, G Noske, J Umlauft, T Beckers, A Lederer, S Hirche
Learning for Dynamics and Control, 490-499, 2020
72020
Smart forgetting for safe online learning with Gaussian processes
J Umlauft, T Beckers, A Capone, A Lederer, S Hirche
Learning for Dynamics and Control, 160-169, 2020
42020
Prediction with Gaussian process dynamical models
T Beckers, S Hirche
arXiv preprint arXiv:2006.14551, 2020
32020
Keep soft robots soft--a data-driven based trade-off between feed-forward and feedback control
T Beckers, S Hirche
arXiv preprint arXiv:1906.10489, 2019
32019
Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics
T Beckers, S Hirche
2018 European Control Conference (ECC), 1257-1262, 2018
32018
Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics
T Beckers, L Colombo, S Hirche
arXiv preprint arXiv:2009.06689, 2020
22020
Closed-loop model selection for kernel-based models using Bayesian optimization
T Beckers, S Bansal, CJ Tomlin, S Hirche
2019 IEEE 58th Conference on Decision and Control (CDC), 828-834, 2019
22019
Real-time Uncertainty Decomposition for Online Learning Control
J Umlauft, A Lederer, T Beckers, S Hirche
arXiv preprint arXiv:2010.02613, 2020
12020
Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes
T Beckers, S Hirche, L Colombo
arXiv preprint arXiv:2104.00130, 2021
2021
An Introduction to Gaussian Process Models
T Beckers
arXiv preprint arXiv:2102.05497, 2021
2021
The Value of Data in Learning-Based Control for Training Subset Selection
A Lederer, A Capone, T Beckers, J Umlauft, S Hirche
arXiv preprint arXiv:2011.10596, 2020
2020
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