Gaussian Process Based Trajectory Tracking for Nonholonomic Robots with Velocity Constraints
Author:
Affiliation:
1. Southeast University,School of Mathematics,Nanjing,China,210096
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10002706/10002716/10002749.pdf?arnumber=10002749
Reference21 articles.
1. Embedded Learning-based Model Predictive Control for Mobile Robots using Gaussian Process Regression
2. Trajectory Tracking for Nonholonomic Vehicles with Velocity Constraints∗∗The work described in this paper was supported in part by a grant from City University of Hong Kong (Project No. 7200330) and by the Research Grants Council of the Hong Kong Special Administrative Region of China under Project CityU/138913. Corresponding author: Lu Liu, E-mail: luliu45@cityu.edu.hk, Tel: 852-34425426.
3. Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems
4. Stable Gaussian process based tracking control of Euler–Lagrange systems
5. Safe Learning of Quadrotor Dynamics Using Barrier Certificates
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