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ORCIDThomas Beckers 0001
Person information
- affiliation: Vanderbilt University, Nashville, TN, USA
- affiliation (former): University of Pennsylvania, Department of Electrical and Systems Engineering, Philadelphia, PA, USA
- affiliation (former): Technical University of Munich, Department of Electrical and Computer Engineering, Germany
Other persons with the same name
- Thomas Beckers — disambiguation page
- Thomas Beckers 0002 — University of Duisburg-Essen, Department of Computer Science and Applied Cognitive Science, Germany
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2020 – today
- 2024
[c20]Kaiyuan Tan, Peilun Li, Thomas Beckers:
Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models. L4DC 2024: 1753-1764- 2023
- [j4]Jacob R. Goodman
, Thomas Beckers, Leonardo J. Colombo:
Geometric Control for Load Transportation With Quadrotor UAVs by Elastic Cables. IEEE Trans. Control. Syst. Technol. 31(6): 2848-2862 (2023) - [c19]Thomas Beckers:
Data-Driven Bayesian Control of Port-Hamiltonian Systems. CDC 2023: 8708-8713 - [c18]Thomas Beckers, Qirui Wu, George J. Pappas:
Physics-enhanced Gaussian Process Variational Autoencoder. L4DC 2023: 521-533 - [i22]Thomas Beckers, Qirui Wu, George J. Pappas:
Physics-enhanced Gaussian Process Variational Autoencoder. CoRR abs/2305.09006 (2023) - [i21]Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas:
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CoRR abs/2305.09017 (2023) - [i20]Thomas Beckers, Tom Z. Jiahao, George J. Pappas:
Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification. CoRR abs/2305.09689 (2023) - [i19]Thomas Beckers:
Data-driven Bayesian Control of Port-Hamiltonian Systems. CoRR abs/2309.04678 (2023) - 2022
- [j3]Thomas Beckers, Leonardo J. Colombo, Sandra Hirche, George J. Pappas:
Online Learning-Based Trajectory Tracking for Underactuated Vehicles With Uncertain Dynamics. IEEE Control. Syst. Lett. 6: 2090-2095 (2022) - [j2]Thomas Beckers, Sandra Hirche:
Prediction With Approximated Gaussian Process Dynamical Models. IEEE Trans. Autom. Control. 67(12): 6460-6473 (2022) - [c17]Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas:
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CDC 2022: 1447-1453 - [c16]Thomas Beckers, Leonardo J. Colombo, Manfred Morari, George J. Pappas:
Learning-based Balancing of Model-based and Feedback Control for Second-order Mechanical Systems. CDC 2022: 4667-4673 - [c15]Thomas Beckers, George J. Pappas, Leonardo J. Colombo:
Learning Rigidity-based Flocking Control using Gaussian Processes with Probabilistic Stability Guarantees. CDC 2022: 7254-7259 - 2021
- [c14]Thomas Beckers, Sandra Hirche, Leonardo Colombo:
Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. CDC 2021: 2197-2202 - [c13]Junya Yamauchi, Marco Omainska, Thomas Beckers, Takeshi Hatanaka, Sandra Hirche, Masayuki Fujita:
Cooperative Visual Pursuit Control with Learning of Position Dependent Target Motion via Gaussian Process. CDC 2021: 2211-2217 - [c12]Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche:
The Impact of Data on the Stability of Learning-Based Control. L4DC 2021: 623-635 - [i18]Thomas Beckers:
An Introduction to Gaussian Process Models. CoRR abs/2102.05497 (2021) - [i17]Thomas Beckers, Sandra Hirche, Leonardo Colombo:
Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. CoRR abs/2104.00130 (2021) - [i16]Jacob R. Goodman, Juan S. Cely, Thomas Beckers, Leonardo J. Colombo:
Geometric Control for Load Transportation with Quadrotor UAVs by Elastic Cables. CoRR abs/2111.00777 (2021) - [i15]Manuela Gamonal Fernández, Thomas Beckers, George J. Pappas, Leonardo J. Colombo:
Learning Rigidity-based Flocking Control with Gaussian Processes. CoRR abs/2112.07779 (2021) - 2020
- [c11]Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche:
Smart Forgetting for Safe Online Learning with Gaussian Processes. L4DC 2020: 160-169 - [c10]Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. L4DC 2020: 490-499 - [c9]Junya Yamauchi, Thomas Beckers, Marco Omainska, Takeshi Hatanaka, Sandra Hirche, Masayuki Fujita:
Visual Pursuit Control with Target Motion Learning via Gaussian Process. SICE 2020: 1365-1372 - [i14]Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. CoRR abs/2005.02191 (2020) - [i13]Thomas Beckers, Sandra Hirche:
Prediction with Gaussian Process Dynamical Models. CoRR abs/2006.14551 (2020) - [i12]Thomas Beckers, Leonardo Colombo, Sandra Hirche:
Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics. CoRR abs/2009.06689 (2020) - [i11]Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche:
Real-time Uncertainty Decomposition for Online Learning Control. CoRR abs/2010.02613 (2020) - [i10]Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche:
The Value of Data in Learning-Based Control for Training Subset Selection. CoRR abs/2011.10596 (2020)
2010 – 2019
- 2019
- [j1]Thomas Beckers, Dana Kulic, Sandra Hirche:
Stable Gaussian process based tracking control of Euler-Lagrange systems. Autom. 103: 390-397 (2019) - [c8]Thomas Beckers, Somil Bansal, Claire J. Tomlin, Sandra Hirche:
Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization. CDC 2019: 828-834 - [i9]Thomas Beckers, Sandra Hirche:
Keep soft robots soft - a data-driven based trade-off between feed-forward and feedback control. CoRR abs/1906.10489 (2019) - [i8]Thomas Beckers, Somil Bansal, Claire J. Tomlin, Sandra Hirche:
Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization. CoRR abs/1909.05699 (2019) - 2018
- [c7]Thomas Beckers, Jonas Umlauft, Sandra Hirche:
Mean Square Prediction Error of Misspecified Gaussian Process Models. CDC 2018: 1162-1167 - [c6]Thomas Beckers, Sandra Hirche:
Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics. ECC 2018: 1257-1262 - [c5]Jonas Umlauft, Thomas Beckers, Sandra Hirche:
Scenario-based Optimal Control for Gaussian Process State Space Models. ECC 2018: 1386-1392 - [i7]Thomas Beckers, Dana Kulic, Sandra Hirche:
Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems. CoRR abs/1806.07190 (2018) - [i6]Thomas Beckers, Jonas Umlauft, Sandra Hirche:
Mean Square Prediction Error of Misspecified Gaussian Process Models. CoRR abs/1811.06642 (2018) - [i5]Thomas Beckers, Sandra Hirche:
Stability of Gaussian Process State Space Models. CoRR abs/1811.06646 (2018) - [i4]Thomas Beckers, Sandra Hirche:
Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics. CoRR abs/1811.06648 (2018) - [i3]Thomas Beckers, Sandra Hirche:
Equilibrium Distributions and Stability Analysis of Gaussian Process State Space Models. CoRR abs/1811.06653 (2018) - [i2]Thomas Beckers, Jonas Umlauft, Sandra Hirche:
Stable Model-based Control with Gaussian Process Regression for Robot Manipulators. CoRR abs/1811.06655 (2018) - [i1]Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche:
Stable Gaussian Process based Tracking Control of Lagrangian Systems. CoRR abs/1811.07711 (2018) - 2017
- [c4]Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche:
Stable Gaussian process based tracking control of Lagrangian systems. CDC 2017: 5180-5185 - [c3]Jonas Umlauft, Thomas Beckers, Melanie Kimmel, Sandra Hirche:
Feedback linearization using Gaussian processes. CDC 2017: 5249-5255 - 2016
- [c2]Thomas Beckers, Sandra Hirche:
Equilibrium distributions and stability analysis of Gaussian Process State Space Models. CDC 2016: 6355-6361 - [c1]Thomas Beckers, Sandra Hirche:
Stability of Gaussian process state space models. ECC 2016: 2275-2281
Coauthor Index
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