Thomas Beckers

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 47

Top Topics

Gaussian Process

Dynamical Models

Top Venues

Publications

Kaiyuan Tan, Peilun Li, Thomas Beckers
Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models. L4DC (2024)
Kaiyuan Tan, Peilun Li, Thomas Beckers
Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian Models. CoRR (2024)
Thomas Beckers, Qirui Wu, George J. Pappas
Physics-enhanced Gaussian Process Variational Autoencoder. CoRR (2023)
Thomas Beckers, Qirui Wu, George J. Pappas
Physics-enhanced Gaussian Process Variational Autoencoder. L4DC (2023)
Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CoRR (2023)
Thomas Beckers
Data-Driven Bayesian Control of Port-Hamiltonian Systems. CDC (2023)
Thomas Beckers
Data-driven Bayesian Control of Port-Hamiltonian Systems. CoRR (2023)
Thomas Beckers, Tom Z. Jiahao, George J. Pappas
Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification. CoRR (2023)
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) (2023)
Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CDC (2022)
Thomas Beckers, Sandra Hirche
Prediction With Approximated Gaussian Process Dynamical Models. IEEE Trans. Autom. Control. 67 (12) (2022)
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 (2022)
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)
Thomas Beckers, George J. Pappas, Leonardo J. Colombo
Learning Rigidity-based Flocking Control using Gaussian Processes with Probabilistic Stability Guarantees. CDC (2022)
Thomas Beckers, Sandra Hirche, Leonardo Colombo
Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. CDC (2021)
Manuela Gamonal Fernández, Thomas Beckers, George J. Pappas, Leonardo J. Colombo
Learning Rigidity-based Flocking Control with Gaussian Processes. CoRR (2021)
Thomas Beckers, Sandra Hirche, Leonardo Colombo
Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. CoRR (2021)
Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche
The Impact of Data on the Stability of Learning-Based Control. L4DC (2021)
Thomas Beckers
An Introduction to Gaussian Process Models. CoRR (2021)
Jacob R. Goodman, Juan S. Cely, Thomas Beckers, Leonardo J. Colombo
Geometric Control for Load Transportation with Quadrotor UAVs by Elastic Cables. CoRR (2021)
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)
Thomas Beckers, Sandra Hirche
Prediction with Gaussian Process Dynamical Models. CoRR (2020)
Thomas Beckers, Leonardo Colombo, Sandra Hirche
Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics. CoRR (2020)
Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche
Real-time Uncertainty Decomposition for Online Learning Control. CoRR (2020)
Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche
The Value of Data in Learning-Based Control for Training Subset Selection. CoRR (2020)
Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
Localized active learning of Gaussian process state space models. CoRR (2020)
Junya Yamauchi, Thomas Beckers, Marco Omainska, Takeshi Hatanaka, Sandra Hirche, Masayuki Fujita
Visual Pursuit Control with Target Motion Learning via Gaussian Process. SICE (2020)
Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
Localized active learning of Gaussian process state space models. L4DC (2020)
Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche
Smart Forgetting for Safe Online Learning with Gaussian Processes. L4DC (2020)
Thomas Beckers, Sandra Hirche
Keep soft robots soft - a data-driven based trade-off between feed-forward and feedback control. CoRR (2019)
Thomas Beckers, Somil Bansal, Claire J. Tomlin, Sandra Hirche
Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization. CDC (2019)
Thomas Beckers, Somil Bansal, Claire J. Tomlin, Sandra Hirche
Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization. CoRR (2019)
Thomas Beckers, Dana Kulic, Sandra Hirche
Stable Gaussian process based tracking control of Euler-Lagrange systems. Autom. 103 (2019)
Thomas Beckers, Sandra Hirche
Stability of Gaussian Process State Space Models. CoRR (2018)
Thomas Beckers, Jonas Umlauft, Sandra Hirche
Mean Square Prediction Error of Misspecified Gaussian Process Models. CoRR (2018)
Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche
Stable Gaussian Process based Tracking Control of Lagrangian Systems. CoRR (2018)
Thomas Beckers, Sandra Hirche
Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics. ECC (2018)
Thomas Beckers, Dana Kulic, Sandra Hirche
Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems. CoRR (2018)
Jonas Umlauft, Thomas Beckers, Sandra Hirche
Scenario-based Optimal Control for Gaussian Process State Space Models. ECC (2018)
Thomas Beckers, Jonas Umlauft, Sandra Hirche
Stable Model-based Control with Gaussian Process Regression for Robot Manipulators. CoRR (2018)
Thomas Beckers, Sandra Hirche
Equilibrium Distributions and Stability Analysis of Gaussian Process State Space Models. CoRR (2018)
Thomas Beckers, Jonas Umlauft, Sandra Hirche
Mean Square Prediction Error of Misspecified Gaussian Process Models. CDC (2018)
Thomas Beckers, Sandra Hirche
Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics. CoRR (2018)
Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche
Stable Gaussian process based tracking control of Lagrangian systems. CDC (2017)
Jonas Umlauft, Thomas Beckers, Melanie Kimmel, Sandra Hirche
Feedback linearization using Gaussian processes. CDC (2017)
Thomas Beckers, Sandra Hirche
Stability of Gaussian process state space models. ECC (2016)
Thomas Beckers, Sandra Hirche
Equilibrium distributions and stability analysis of Gaussian Process State Space Models. CDC (2016)