Modelling and analysis of active full vehicle suspension model optimized using the advanced reinforcement learning controller
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on March 02, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Enhancing driving safety and comfort relies heavily on the optimization of vehicle suspension systems. This research introduces an innovative method that leverages cutting-edge reinforcement learning techniques, such as Proximal Policy Optimization (PPO), ...
Enhancing driving safety and comfort relies heavily on the optimization of vehicle suspension systems. This research introduces an innovative method that leverages cutting-edge reinforcement learning techniques, such as Proximal Policy Optimization (PPO), ...