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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Detalles Bibliográficos
Autores principales: Tang, Xianzhi, Shi, Longfei, Wang, Bo, Cheng, Anqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823710/
https://www.ncbi.nlm.nih.gov/pubmed/36617012
http://dx.doi.org/10.3390/s23010412

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823710/
https://www.ncbi.nlm.nih.gov/pubmed/36617012
http://dx.doi.org/10.3390/s23010412

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