Automated driving is essential for developing and deploying intelligent transportation
systems. However, unavoidable sensor noises or perception errors may cause an …

Reinforcement learning is capable of providing state-of-art performance in end-to-end
robotic control tasks. Nevertheless, many real-world control tasks necessitate the balancing …

Intelligent driving technology requires a steer-by-wire (SBW) system with a higher level of
safety. This article presents a novel dual-motor SBW system aimed at enhancing the safety …

The existing electronic stability control (ESC) system does not consider the steering intention
of an autonomous driving system (ADS) during autonomous driving emergency avoidance …

This article presents a sensorless motor drive scheme by a fusion of the electrical model-
based estimation and the mechanical model-based observer with respect to the position …

In this article, we investigate the speed tracking control problem for permanent magnet
synchronous motor (PMSM) drive systems. In particular, the current constraint, parametric …

In order to meet the requirement of a higher safety level for the steer-by-wire system, this
article proposes a dual-motor steer-by-wire (DMSBW) system to realize its safety …

This paper presents an additive-state-decomposition-based model predictive tracking
control and disturbance rejection method for a permanent magnet synchronous motor …

This paper proposes a robust design approach based on the Design for Six Sigma (DFSS),
to promote the robustness of our previous model-free-adaptive-control-based (MFAC-based) …

When a vehicle hits a pothole, the reaction force of the pothole on the tire causes an
imbalance in the driving forces on both sides of the vehicle and may cause the wheels to …