activity
20182021
most citedAn Introduction to Gaussian Process Models

26 citations · 34 across the 5 of their papers we have counts for

collaborators

8 papers

math.OC20212 cited

Geometric Control for Load Transportation with Quadrotor UAVs by Elastic Cables

Jacob R. Goodman, Juan S. Cely, Thomas Beckers +1

Groups of unmanned aerial vehicles (UAVs) are increasingly utilized in transportation task as the combined strength allows to increase the maximum payload. However, the resulting m…

eess.SY20213 cited

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

Thomas Beckers, Sandra Hirche, Leonardo Colombo

Formation control algorithms for multi-agent systems have gained much attention in the recent years due to the increasing amount of mobile and aerial robotic swarms. The design of…

eess.SY202126 cited

An Introduction to Gaussian Process Models

Thomas Beckers

Within the past two decades, Gaussian process regression has been increasingly used for modeling dynamical systems due to some beneficial properties such as the bias variance trade…

eess.SY2020

The Impact of Data on the Stability of Learning-Based Control- Extended Version

Armin Lederer, Alexandre Capone, Thomas Beckers +2

Despite the existence of formal guarantees for learning-based control approaches, the relationship between data and control performance is still poorly understood. In this paper, w…

cs.LG20203 cited

Localized active learning of Gaussian process state space models

Alexandre Capone, Jonas Umlauft, Thomas Beckers +2

The performance of learning-based control techniques crucially depends on how effectively the system is explored. While most exploration techniques aim to achieve a globally accura…

eess.SY2019

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

Thomas Beckers, Somil Bansal, Claire J. Tomlin +1

Kernel-based nonparametric models have become very attractive for model-based control approaches for nonlinear systems. However, the selection of the kernel and its hyperparameters…