In this article, an asynchronous stochastic self-triggered distributed MPC (DMPC) control
scheme is proposed for vehicular platoon systems under coupled state constraints and …

Path planning plays a vital role in ensuring the efficient and safe operation of off-road
autonomous ground vehicles (AGVs). Current methods mostly focus on minimizing the travel …

Reliability-based global path planning incorporates reliability constraints into path planning
to ensure that off-road autonomous ground vehicles can operate reliably in uncertain off …

The traffic environment and driving behaviors are of great complexity and uncertainty in our
physical world. Therefore, training in the digital world with low cost and diverse complexities …

Safe and efficient obstacle avoidance in complex traffic situations is a major challenge for
real-time motion control of connected and automated vehicles (CAVs). Limited processing …

With the popularity and increasing demand of new energy automotive, four-wheel
independent drive electric vehicles (4WID-EVs) and its distributed control mode is promising …

In dense traffic scenarios, ensuring safety while keeping high task performance for
autonomous driving is a critical challenge. To address this problem, this paper proposes a …

In the context of the energy crisis, the optimal utilization of clean agricultural waste is of
growing significance. This study employs a cost-effective method to obtain high-purity …

This paper presents a novel state-feedback switching linear parameter varying (LPV) control
for automated vehicle path following under model uncertainty and external disturbances. A …

Efficient trajectory tracking approaches can enable autonomous vehicles not only to get a
smooth trajectory but to achieve a lower energy dissipation. Since vehicle model plays an …