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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |