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20182023
most citedStable Gaussian Process based Tracking Control of Euler-Lagrange Systems

152 citations · 285 across the 20 of their papers we have counts for

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7 papers · 1 filter

eess.SY2018★ 21 cited

Stable Gaussian Process based Tracking Control of Lagrangian Systems

Thomas Beckers, Jonas Umlauft, Dana Kulić +1

High performance tracking control can only be achieved if a good model of the dynamics is available. However, such a model is often difficult to obtain from first order physics onl…

eess.SY2018★ 8 cited

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

Thomas Beckers, Jonas Umlauft, Sandra Hirche

Computed-torque control requires a very precise dynamical model of the robot for compensating the manipulator dynamics. This allows reduction of the controller's feedback gains res…

eess.SY2018★ 18 cited

Equilibrium Distributions and Stability Analysis of Gaussian Process State Space Models

Thomas Beckers, Sandra Hirche

Gaussian Process State Space Models (GP-SSM) are a data-driven stochastic model class suitable to represent nonlinear dynamics. They have become increasingly popular in non-paramet…

eess.SY2018

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

Thomas Beckers, Sandra Hirche

The paper addresses the problem of passivation of a class of nonlinear systems where the dynamics are unknown. For this purpose, we use the highly flexible, data-driven Gaussian pr…

eess.SY2018★ 34 cited

Stability of Gaussian Process State Space Models

Thomas Beckers, Sandra Hirche

Gaussian Process State Space Models (GP-SSMs) are a non-parametric model class suitable to represent nonlinear dynamics. They become increasingly popular in data-driven modeling ap…

cs.LG2018

Mean Square Prediction Error of Misspecified Gaussian Process Models

Thomas Beckers, Jonas Umlauft, Sandra Hirche

Nonparametric modeling approaches show very promising results in the area of system identification and control. A naturally provided model confidence is highly relevant for system-…

cs.LG2018★ 152 cited

Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems

Thomas Beckers, Dana Kulić, Sandra Hirche

Perfect tracking control for real-world Euler-Lagrange systems is challenging due to uncertainties in the system model and external disturbances. The magnitude of the tracking erro…