Finite-time path following tracking control for time-delayed autonomous vehicles using an enhanced RBF neural network
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on February 18, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
In the field of autonomous driving, accurate path-following control is crucial for ensuring safety and efficiency. This paper addresses the challenges of path-following errors and convergence speed in autonomous vehicles by proposing a novel SOSM-RBF-TD-...
In the field of autonomous driving, accurate path-following control is crucial for ensuring safety and efficiency. This paper addresses the challenges of path-following errors and convergence speed in autonomous vehicles by proposing a novel SOSM-RBF-TD-...