Robust Control Design for Autonomous Vehicles Using Neural Network-Based Model-Matching Approach

Robust Control Design for Autonomous Vehicles Using Neural Network-Based Model-Matching Approach

In this paper, a novel neural network-based robust control method is presented for a vehicle-oriented problem, in which the main goal is to ensure stable motion of the vehicle under critical circumstances. The proposed method can be divided into two main steps. In the first step, the model matching...

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Bibliographic Details
Main Authors: Dániel Fényes, Tamás Hegedus, Balázs Németh, Péter Gáspár
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Energies
Subjects:
vehicle control
model-matching
robust control
neural networks
Online Access:https://www.mdpi.com/1996-1073/14/21/7438

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