Thomas Beckers

61 papers A* 1C 1Journal 36Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aggressiveness-Aware Learning-based Control of Quadrotor UAVs with Safety Guarantees. CoRR Leonardo Colombo, Thomas Beckers, Juan Ignacio Giribet
2026	J	`jnl`	PHDME: Physics-Informed Diffusion Models without Explicit Governing Equations. CoRR Kaiyuan Tan, Kendra Givens, Peilun Li, Thomas Beckers
2026	J	`jnl`	Structure-Preserving Learning of Nonholonomic Dynamics. CoRR Thomas Beckers, Anthony M. Bloch, Leonardo Colombo
2026	J	`jnl`	∂CBDs: Differentiable Causal Block Diagrams. CoRR Thomas Beckers, Ján Drgona, Truong X. Nghiem
2025	J	`jnl`	A Safety-Driven Interpretable Model for Vehicle Control With Impact on Traffic. IEEE Trans. Intell. Transp. Syst. Xia Wang, Yuwei Yang, Yifan Shangguan, Weiyu Yan, Ziyan An, Matthew R. Bunting, Matthew Nice, Thomas Beckers, Meiyi Ma, Dan Work, Jonathan Sprinkle
2025	J	`jnl`	Inference in Latent Force Models Using Optimal State Estimation. CoRR Tobias M. Wolff, Victor G. Lopez, Matthias Albrecht Müller, Thomas Beckers
2025	—	`conf`	NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems. L4DC Peilun Li, Kaiyuan Tan, Thomas Beckers
2025	—	`conf`	Physics-informed Learning for Passivity-based Tracking Control. CDC Thomas Beckers, Leonardo Colombo
2025	J	`jnl`	Physics-informed Learning for Passivity-based Tracking Control. CoRR Thomas Beckers, Leonardo Colombo
2025	A*	`conf`	Plug-and-Play Physics-Informed Learning Using Uncertainty Quantified Port-Hamiltonian Models. ICRA Kaiyuan Tan, Peilun Li, Jun Wang, Thomas Beckers
2025	J	`jnl`	Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models. CoRR Kaiyuan Tan, Peilun Li, Jun Wang, Thomas Beckers
2025	J	`jnl`	Safe Physics-Informed Machine Learning for Dynamics and Control. CoRR Ján Drgona, Truong X. Nghiem, Thomas Beckers, Mahyar Fazlyab, Enrique Mallada, Colin N. Jones, Draguna L. Vrabie, Steven L. Brunton, Rolf Findeisen
2025	C	`conf`	Safe Physics-informed Machine Learning for Dynamics and Control. ACC Ján Drgona, Truong X. Nghiem, Thomas Beckers, Mahyar Fazlyab, Enrique Mallada, Colin N. Jones, Draguna L. Vrabie, Steven L. Brunton, Rolf Findeisen
2024	—	`conf`	Interpretable Finite State Machine Controller: A Case Study on Lane Merge Yield Mode. ITSC Xia Wang, Yuwei Yang, Yifan Shangguan, Weiyu Yan, Ziyan An, Matthew R. Bunting, Matthew Nice, Thomas Beckers, Meiyi Ma, Dan Work, Jonathan Sprinkle
2024	J	`jnl`	Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian Models. CoRR Kaiyuan Tan, Peilun Li, Thomas Beckers
2024	—	`conf`	Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models. L4DC Kaiyuan Tan, Peilun Li, Thomas Beckers
2023	—	`conf`	Data-Driven Bayesian Control of Port-Hamiltonian Systems. CDC Thomas Beckers
2023	J	`jnl`	Data-driven Bayesian Control of Port-Hamiltonian Systems. CoRR Thomas Beckers
2023	J	`jnl`	Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CoRR Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas
2023	J	`jnl`	Geometric Control for Load Transportation With Quadrotor UAVs by Elastic Cables. IEEE Trans. Control. Syst. Technol. Jacob R. Goodman, Thomas Beckers, Leonardo J. Colombo
2023	J	`jnl`	Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification. CoRR Thomas Beckers, Tom Z. Jiahao, George J. Pappas
2023	—	`conf`	Physics-enhanced Gaussian Process Variational Autoencoder. L4DC Thomas Beckers, Qirui Wu, George J. Pappas
2023	J	`jnl`	Physics-enhanced Gaussian Process Variational Autoencoder. CoRR Thomas Beckers, Qirui Wu, George J. Pappas
2022	—	`conf`	Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior. CDC Thomas Beckers, Jacob H. Seidman, Paris Perdikaris, George J. Pappas
2022	—	`conf`	Learning Rigidity-based Flocking Control using Gaussian Processes with Probabilistic Stability Guarantees. CDC Thomas Beckers, George J. Pappas, Leonardo J. Colombo
2022	—	`conf`	Learning-based Balancing of Model-based and Feedback Control for Second-order Mechanical Systems. CDC Thomas Beckers, Leonardo J. Colombo, Manfred Morari, George J. Pappas
2022	J	`jnl`	Online Learning-Based Trajectory Tracking for Underactuated Vehicles With Uncertain Dynamics. IEEE Control. Syst. Lett. Thomas Beckers, Leonardo J. Colombo, Sandra Hirche, George J. Pappas
2022	J	`jnl`	Prediction With Approximated Gaussian Process Dynamical Models. IEEE Trans. Autom. Control. Thomas Beckers, Sandra Hirche
2021	J	`jnl`	An Introduction to Gaussian Process Models. CoRR Thomas Beckers
2021	—	`conf`	Cooperative Visual Pursuit Control with Learning of Position Dependent Target Motion via Gaussian Process. CDC Junya Yamauchi, Marco Omainska, Thomas Beckers, Takeshi Hatanaka, Sandra Hirche, Masayuki Fujita
2021	J	`jnl`	Geometric Control for Load Transportation with Quadrotor UAVs by Elastic Cables. CoRR Jacob R. Goodman, Juan S. Cely, Thomas Beckers, Leonardo J. Colombo
2021	J	`jnl`	Learning Rigidity-based Flocking Control with Gaussian Processes. CoRR Manuela Gamonal Fernández, Thomas Beckers, George J. Pappas, Leonardo J. Colombo
2021	—	`conf`	Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. CDC Thomas Beckers, Sandra Hirche, Leonardo Colombo
2021	J	`jnl`	Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. CoRR Thomas Beckers, Sandra Hirche, Leonardo Colombo
2021	—	`conf`	The Impact of Data on the Stability of Learning-Based Control. L4DC Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche
2020	—	`conf`	Localized active learning of Gaussian process state space models. L4DC Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
2020	J	`jnl`	Localized active learning of Gaussian process state space models. CoRR Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
2020	J	`jnl`	Prediction with Gaussian Process Dynamical Models. CoRR Thomas Beckers, Sandra Hirche
2020	J	`jnl`	Real-time Uncertainty Decomposition for Online Learning Control. CoRR Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche
2020	J	`jnl`	Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics. CoRR Thomas Beckers, Leonardo Colombo, Sandra Hirche
2020	—	`conf`	Smart Forgetting for Safe Online Learning with Gaussian Processes. L4DC Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche
2020	J	`jnl`	The Value of Data in Learning-Based Control for Training Subset Selection. CoRR Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche
2020	—	`conf`	Visual Pursuit Control with Target Motion Learning via Gaussian Process. SICE Junya Yamauchi, Thomas Beckers, Marco Omainska, Takeshi Hatanaka, Sandra Hirche, Masayuki Fujita
2019	—	`conf`	Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization. CDC Thomas Beckers, Somil Bansal, Claire J. Tomlin, Sandra Hirche
2019	J	`jnl`	Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization. CoRR Thomas Beckers, Somil Bansal, Claire J. Tomlin, Sandra Hirche
2019	J	`jnl`	Keep soft robots soft - a data-driven based trade-off between feed-forward and feedback control. CoRR Thomas Beckers, Sandra Hirche
2019	J	`jnl`	Stable Gaussian process based tracking control of Euler-Lagrange systems. Autom. Thomas Beckers, Dana Kulic, Sandra Hirche
2018	J	`jnl`	Equilibrium Distributions and Stability Analysis of Gaussian Process State Space Models. CoRR Thomas Beckers, Sandra Hirche
2018	—	`conf`	Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics. ECC Thomas Beckers, Sandra Hirche
2018	J	`jnl`	Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics. CoRR Thomas Beckers, Sandra Hirche
2018	—	`conf`	Mean Square Prediction Error of Misspecified Gaussian Process Models. CDC Thomas Beckers, Jonas Umlauft, Sandra Hirche
2018	J	`jnl`	Mean Square Prediction Error of Misspecified Gaussian Process Models. CoRR Thomas Beckers, Jonas Umlauft, Sandra Hirche
2018	—	`conf`	Scenario-based Optimal Control for Gaussian Process State Space Models. ECC Jonas Umlauft, Thomas Beckers, Sandra Hirche
2018	J	`jnl`	Stability of Gaussian Process State Space Models. CoRR Thomas Beckers, Sandra Hirche
2018	J	`jnl`	Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems. CoRR Thomas Beckers, Dana Kulic, Sandra Hirche
2018	J	`jnl`	Stable Gaussian Process based Tracking Control of Lagrangian Systems. CoRR Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche
2018	J	`jnl`	Stable Model-based Control with Gaussian Process Regression for Robot Manipulators. CoRR Thomas Beckers, Jonas Umlauft, Sandra Hirche
2017	—	`conf`	Feedback linearization using Gaussian processes. CDC Jonas Umlauft, Thomas Beckers, Melanie Kimmel, Sandra Hirche
2017	—	`conf`	Stable Gaussian process based tracking control of Lagrangian systems. CDC Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche
2016	—	`conf`	Equilibrium distributions and stability analysis of Gaussian Process State Space Models. CDC Thomas Beckers, Sandra Hirche
2016	—	`conf`	Stability of Gaussian process state space models. ECC Thomas Beckers, Sandra Hirche