Thomas Beckers

Leonardo J. Colombo

IEEE Trans. Control. Syst. Technol., November, 2023

Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification.

[BibT_eX]

[DOI]

Tom Z. Jiahao

CoRR, 2023

Physics-enhanced Gaussian Process Variational Autoencoder.

[BibT_eX]

[DOI]

Qirui Wu

Proceedings of the Learning for Dynamics and Control Conference, 2023

Data-Driven Bayesian Control of Port-Hamiltonian Systems.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Prediction With Approximated Gaussian Process Dynamical Models.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Online Learning-Based Trajectory Tracking for Underactuated Vehicles With Uncertain Dynamics.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Learning Rigidity-based Flocking Control using Gaussian Processes with Probabilistic Stability Guarantees.

[BibT_eX]

[DOI]

Manuela Gamonal Fernández

Leonardo J. Colombo

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.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Learning Rigidity-based Flocking Control with Gaussian Processes.

[BibT_eX]

[DOI]

Leonardo J. Colombo

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Leonardo Colombo

CoRR, 2021

An Introduction to Gaussian Process Models.

[BibT_eX]

[DOI]

CoRR, 2021

The Impact of Data on the Stability of Learning-Based Control.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Leonardo Colombo

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.

[BibT_eX]

[DOI]

CoRR, 2020

Real-time Uncertainty Decomposition for Online Learning Control.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Leonardo Colombo

CoRR, 2020

Prediction with Gaussian Process Dynamical Models.

[BibT_eX]

[DOI]

CoRR, 2020

Localized active learning of Gaussian process state space models.

[BibT_eX]

[DOI]

CoRR, 2020

Visual Pursuit Control with Target Motion Learning via Gaussian Process.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Localized active learning of Gaussian process state space models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Dana Kulic

Autom., 2019

Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

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

[BibT_eX]

[DOI]

Jonas Umlauft

CoRR, 2018

Scenario-based Optimal Control for Gaussian Process State Space Models.

[BibT_eX]

[DOI]

Jonas Umlauft

Proceedings of the 16th European Control Conference, 2018

Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

Mean Square Prediction Error of Misspecified Gaussian Process Models.

[BibT_eX]

[DOI]

Jonas Umlauft

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Feedback linearization using Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Stable Gaussian process based tracking control of Lagrangian systems.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Stability of Gaussian process state space models.

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

Equilibrium distributions and stability analysis of Gaussian Process State Space Models.

[BibT_eX]

[DOI]