Fast Trajectory Tracking Control Algorithm for Autonomous Vehicles Based on the Alternating Direction Multiplier Method (ADMM) to the Receding Optimization of Model Predictive Control (MPC)

In order to improve the real-time performance of the trajectory tracking of autonomous vehicles, this paper applies the alternating direction multiplier method (ADMM) to the receding optimization of model predictive control (MPC), which improves the computational speed of the algorithm. Based on the...

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Detalles Bibliográficos
Autores principales: Dong, Ding, Ye, Hongtao, Luo, Wenguang, Wen, Jiayan, Huang, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610838/
https://www.ncbi.nlm.nih.gov/pubmed/37896485
http://dx.doi.org/10.3390/s23208391

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610838/
https://www.ncbi.nlm.nih.gov/pubmed/37896485
http://dx.doi.org/10.3390/s23208391

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