Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems

3 April 2018

Papers citing "Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems"

8 / 8 papers shown

Title
Gaussian Process-Based Learning Control of Underactuated Balance Robots with an External and Internal Convertible Modeling Structure Feng Han Jingang Yi 35 1 0 15 Dec 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
Personalized Rehabilitation Robotics based on Online Learning Control Samuel Tesfazgi Armin Lederer Johannes F. Kunz Alejandro Jose Ordóñez Conejo Sandra Hirche 35 1 0 01 Oct 2021
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees Christian Fiedler C. Scherer Sebastian Trimpe 24 15 0 07 May 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression Christian Fiedler C. Scherer Sebastian Trimpe GP 31 65 0 06 May 2021
Gaussian Processes Model-based Control of Underactuated Balance Robots Kuo Chen J. Yi Dezhen Song 18 19 0 29 Oct 2020
Online learning-based trajectory tracking for underactuated vehicles with uncertain dynamics Thomas Beckers L. Colombo Sandra Hirche George J. Pappas 13 6 0 14 Sep 2020
Learning dynamics for improving control of overactuated flying systems Weixuan Zhang Maximilian Brunner Lionel Ott Mina Kamel Roland Siegwart Juan I. Nieto 16 11 0 23 Jun 2020