Weight Adaptive Path Tracking Control for Autonomous Vehicles Based on PSO-BP Neural Network

Weight Adaptive Path Tracking Control for Autonomous Vehicles Based on PSO-BP Neural Network

In order to improve the tracking adaptability of autonomous vehicles under different vehicle speeds and road curvature, this paper develops a weight adaptive model prediction control system (AMPC) based on PSO-BP neural network, which consists of a dynamics-based model prediction controller (MPC) an...

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Bibliographic Details
Main Authors: Xianzhi Tang, Longfei Shi, Bo Wang, Anqi Cheng
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
autonomous vehicles
path tracking control
particle swarm optimization
model predictive control
Online Access:https://www.mdpi.com/1424-8220/23/1/412

Internet

https://www.mdpi.com/1424-8220/23/1/412

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