Lateral Control of Autonomous Vehicles with Data Dropout via an Enhanced Data-driven Model-free Adaptive Control Algorithm

Lateral Control of Autonomous Vehicles with Data Dropout via an Enhanced Data-driven Model-free Adaptive Control Algorithm

Addressing the lateral path tracking control issue of autonomous vehicles during data dropout, an improved model-free adaptive control system with data compensation (DC-EMFAC) is introduced. First, the method introduces a dynamic linearization technique with a time-varying factor pseudo gradient (PG...

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Bibliographic Details
Main Authors: Shida Liu, Yuhao Yan, Honghai Ji, Li Wang
Format: Article
Language:English
Published: Tsinghua University Press 2024-03-01
Series:Journal of Highway and Transportation Research and Development
Subjects:
automotive engineering
autonomous vehicle
model-free adaptive control (mfac)
data dropout
data compensation
data driven control
Online Access:https://www.sciopen.com/article/10.26599/HTRD.2024.9480005
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