Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems

19 June 2018

Papers citing "Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems"

22 / 22 papers shown

Title
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy Deshmukh 80 15 0 31 Aug 2024
Gaussian Process-Enhanced, External and Internal Convertible (EIC) Form-Based Control of Underactuated Balance Robots Feng Han Jingang Yi 22 2 0 27 Sep 2023
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States Robert Lefringhausen Supitsana Srithasan Armin Lederer Sandra Hirche 30 6 0 31 Mar 2023
Learning-based Predictive Path Following Control for Nonlinear Systems Under Uncertain Disturbances Ruicong Yang Lei Zheng Jiesen Pan Hui Cheng 27 37 0 26 Dec 2022
Learning robot inverse dynamics using sparse online Gaussian process with forgetting mechanism W. Li Zhi-wen Li Yiqiu Liu Yongping Pan 13 2 0 30 Jul 2022
Physically Consistent Learning of Conservative Lagrangian Systems with Gaussian Processes G. Evangelisti Sandra Hirche 16 15 0 24 Jun 2022
Concurrent Learning Based Tracking Control of Nonlinear Systems using Gaussian Process Vedant Bhandari E. Kayacan 22 2 0 02 Jun 2021
Distributed Bayesian Online Learning for Cooperative Manipulation P. B. G. Dohmann Armin Lederer Marcel Dissemond Sandra Hirche OffRL 30 5 0 09 Apr 2021
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty Andrew J. Taylor Victor D. Dorobantu Sarah Dean Benjamin Recht Yisong Yue Aaron D. Ames 34 35 0 21 Nov 2020
The Impact of Data on the Stability of Learning-Based Control- Extended Version Armin Lederer A. Capone Thomas Beckers Jonas Umlauft Sandra Hirche 17 10 0 20 Nov 2020
Control Barrier Functions for Unknown Nonlinear Systems using Gaussian Processes Pushpak Jagtap George J. Pappas Majid Zamani 13 86 0 12 Oct 2020
Deep Learning based Uncertainty Decomposition for Real-time Control Neha Das Jonas Umlauft Armin Lederer Thomas Beckers Sandra Hirche UD 28 0 0 06 Oct 2020
Online learning-based trajectory tracking for underactuated vehicles with uncertain dynamics Thomas Beckers L. Colombo Sandra Hirche George J. Pappas 10 6 0 14 Sep 2020
$Contraction $\mathcal{L}_1$-Adaptive Control using Gaussian Processes$ Contraction $\mathcal{L}_1$ -Adaptive Control using Gaussian Processes Aditya Gahlawat Arun Lakshmanan Lin Song Andrew Patterson Zhuohuan Wu N. Hovakimyan Evangelos Theodorou AI4CE 21 1 0 08 Sep 2020
Prediction with Approximated Gaussian Process Dynamical Models Thomas Beckers Sandra Hirche AI4CE 14 18 0 25 Jun 2020
How Training Data Impacts Performance in Learning-based Control Armin Lederer A. Capone Jonas Umlauft Sandra Hirche 33 17 0 25 May 2020
Localized active learning of Gaussian process state space models A. Capone Jonas Umlauft Thomas Beckers Armin Lederer Sandra Hirche 21 27 0 04 May 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models Théo Galy-Fajou F. Wenzel Manfred Opper 29 4 0 26 Feb 2020
Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization Thomas Beckers Somil Bansal Claire Tomlin Sandra Hirche 14 6 0 12 Sep 2019
Keep soft robots soft -- a data-driven based trade-off between feed-forward and feedback control Thomas Beckers Sandra Hirche 28 3 0 25 Jun 2019
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control Armin Lederer Jonas Umlauft Sandra Hirche 14 150 0 04 Jun 2019
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems Andrew J. Taylor Victor D. Dorobantu Hoang Minh Le Yisong Yue Aaron D. Ames 117 78 0 04 Mar 2019