Reliable adaptive H∞ path following control for autonomous ground vehicles in finite frequency domain-Reference-Cited by-同舟云学术

Reliable adaptive H∞ path following control for autonomous ground vehicles in finite frequency domain

Published:2020-09 Issue:14 Volume:357 Page:9599-9613
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Wang Heng,Zhou Feng,Li Qing,Song Wenwen

Funder

Funds of National Natural Science Foundation of China

USTB

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference38 articles.

1. Robust H∞ output-feedback control for path following of autonomous ground vehicles;Hu;Mech. Syst. Signal Process.,2015

2. A path tracking algorithm using future prediction control with spike detection for an autonomous vehicle robot;Aizzat;Int. J. Adv. Robot. Syst.,2013

3. Advances in Intelligent Vehicles;Chen,2014

4. Dynamic motion planning for autonomous vehicle in unknown environments.;Zhao,2011

5. Lateral vehicle trajectory optimization using constrained linear time-varying MPC;Benjamin;IEEE Trans. Intell. Transp. Syst.,2017

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