Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 14, issue 1
Articles | Volume 14, issue 1
https://doi.org/10.5194/ms-14-247-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-14-247-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 1
Research article
 | 
15 Jun 2023
Research article |  | 15 Jun 2023

Intelligent vehicle obstacle avoidance path-tracking control based on adaptive model predictive control

Baorui Miao and Chao Han

Viewed

Total article views: 1,068 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
848 197 23 1,068 11 13
  • HTML: 848
  • PDF: 197
  • XML: 23
  • Total: 1,068
  • BibTeX: 11
  • EndNote: 13
Views and downloads (calculated since 15 Jun 2023)
Cumulative views and downloads (calculated since 15 Jun 2023)

Viewed (geographical distribution)

Total article views: 986 (including HTML, PDF, and XML) Thereof 986 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 May 2024
Download
Short summary
Obstacle avoidance and path-tracking control of intelligent vehicles have always been the key issues of intelligent vehicles. This paper improves the traditional model predictive control algorithm. According to the simulation results, compared with the traditional model predictive control, the proposed adaptive model predictive control algorithm can not only avoid obstacles, but also improve the vehicle path-tracking accuracy and driving stability.
Read more