[HTML][HTML] Research on deep reinforcement learning control algorithm for active suspension considering uncertain time delay

Y Wang, C Wang, S Zhao, K Guo - Sensors, 2023 - mdpi.com
The uncertain delay characteristic of actuators is a critical factor that affects the control
effectiveness of the active suspension system. Therefore, it is crucial to develop a control …

A differential flatness-based model predictive control strategy for a nonlinear quarter-car active suspension system

D Rodriguez-Guevara, A Favela-Contreras… - Mathematics, 2023 - mdpi.com
Controlling an automotive suspension system using an actuator is a complex nonlinear
problem that requires both fast and precise solutions in order to achieve optimal …

Robust filtering and time-varying delay compensation for car suspension systems: a comprehensive approach to reduced disturbance and enhanced estimation

S Liao - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
The optimization of H∞ filtering and addressing time-varying delays in car suspension
systems has emerged as a critical research area in the pursuit of enhanced performance …

Robust fuzzy lane kee** control for four-wheel independently-actuated electric vehicle with actuator delay

X Wang, T Liu, J Zhao, W Li… - … Conference on Electric …, 2023 - ieeexplore.ieee.org
In this research, a robust H∞ fuzzy state control method is designed to improve the lane
kee** performance of four-wheel independently-actuated electric vehicles. This method …

Act-and-Wait Strategy for Mitigating the Effect of Latency in Remote Driving

XA Ji, G Orosz - IFAC-PapersOnLine, 2024 - Elsevier
In this paper, we demonstrate the detrimental effects of latency in remote driving with an
example of straight-path following. To address the instability and performance degradation …