Neural-Fuzzy-Based Adaptive Sliding Mode Automatic Steering Control of Vision-based Unmanned Electric Vehicles

Neural-Fuzzy-Based Adaptive Sliding Mode Automatic Steering Control of Vision-based Unmanned Electric Vehicles

Abstract This paper presents a novel neural-fuzzy-based adaptive sliding mode automatic steering control strategy to improve the driving performance of vision-based unmanned electric vehicles with time-varying and uncertain parameters. Primarily, the kinematic and dynamic models which accurately exp...

Full description

Bibliographic Details
Main Authors: Jinghua Guo, Keqiang Li, Jingjing Fan, Yugong Luo, Jingyao Wang
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Chinese Journal of Mechanical Engineering
Subjects:
Vision-based unmanned electric vehicles
Automatic steering
Neural-fuzzy adaptive sliding control
Vehicle lateral dynamics
Online Access:https://doi.org/10.1186/s10033-021-00597-w

Internet

https://doi.org/10.1186/s10033-021-00597-w

Similar Items