Thomas Beckers

Orcid: 0000-0003-1718-0338

Affiliations:
  • Vanderbilt University, Nashville, TN, USA
  • University of Pennsylvania, Department of Electrical and Systems Engineering, Philadelphia, PA, USA (former)
  • Technical University of Munich, Department of Electrical and Computer Engineering, Germany (former)


According to our database1, Thomas Beckers authored at least 36 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023
Geometric Control for Load Transportation With Quadrotor UAVs by Elastic Cables.
IEEE Trans. Control. Syst. Technol., November, 2023

Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification.
CoRR, 2023

Physics-enhanced Gaussian Process Variational Autoencoder.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Data-Driven Bayesian Control of Port-Hamiltonian Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Prediction With Approximated Gaussian Process Dynamical Models.
IEEE Trans. Autom. Control., 2022

Online Learning-Based Trajectory Tracking for Underactuated Vehicles With Uncertain Dynamics.
IEEE Control. Syst. Lett., 2022

Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Learning Rigidity-based Flocking Control using Gaussian Processes with Probabilistic Stability Guarantees.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Learning-based Balancing of Model-based and Feedback Control for Second-order Mechanical Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Learning Rigidity-based Flocking Control with Gaussian Processes.
CoRR, 2021

Geometric Control for Load Transportation with Quadrotor UAVs by Elastic Cables.
CoRR, 2021

Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes.
CoRR, 2021

An Introduction to Gaussian Process Models.
CoRR, 2021

The Impact of Data on the Stability of Learning-Based Control.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Cooperative Visual Pursuit Control with Learning of Position Dependent Target Motion via Gaussian Process.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
The Value of Data in Learning-Based Control for Training Subset Selection.
CoRR, 2020

Real-time Uncertainty Decomposition for Online Learning Control.
CoRR, 2020

Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics.
CoRR, 2020

Prediction with Gaussian Process Dynamical Models.
CoRR, 2020

Localized active learning of Gaussian process state space models.
CoRR, 2020

Visual Pursuit Control with Target Motion Learning via Gaussian Process.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020

Smart Forgetting for Safe Online Learning with Gaussian Processes.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Localized active learning of Gaussian process state space models.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019
Keep soft robots soft - a data-driven based trade-off between feed-forward and feedback control.
CoRR, 2019

Stable Gaussian process based tracking control of Euler-Lagrange systems.
Autom., 2019

Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Stable Model-based Control with Gaussian Process Regression for Robot Manipulators.
CoRR, 2018

Scenario-based Optimal Control for Gaussian Process State Space Models.
Proceedings of the 16th European Control Conference, 2018

Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics.
Proceedings of the 16th European Control Conference, 2018

Mean Square Prediction Error of Misspecified Gaussian Process Models.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Feedback linearization using Gaussian processes.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Stable Gaussian process based tracking control of Lagrangian systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Stability of Gaussian process state space models.
Proceedings of the 15th European Control Conference, 2016

Equilibrium distributions and stability analysis of Gaussian Process State Space Models.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016


  Loading...