Abstract Model predictive control (MPC) is widely used in the motion control of autonomous
vehicles. However, the conventional MPC relies on an accurate model and cannot achieve …

Due to inevitable parameter uncertainties and disturbances, four-wheel independent drive
automated vehicles (4WIDAVs) will produce tracking deviation during the path following …

Autonomous vehicles have been gaining increasing attentions, one key research interesting
is stable path tracking for an advanced driver assistance system. This paper investigates …

Autonomous parking techniques can be used to tackle the lacking problem of parking
spaces. In this paper, a sampling-based motion planner consisting of optimizing …

A novel nonlinear model predictive control (NMPC) strategy for path tracking of autonomous
vehicles with stable limit handling is proposed in this article. To improve the path tracking …

Abstract Model mismatch caused by strong nonlinearity and other factors will severely
impact the lateral path tracking control in Autonomous Vehicles (AVs) under extreme …

This paper studies the problem of path tracking of Autonomous Ground Vehicles (AGVs) in
the presence of sideslip angles. An observer is designed to estimate both the sideslip angle …

In this article, a novel steer-by-wire system architecture called iSteer is designed to realize
the high performance of steering angle tracking for self-driving vehicles (especially, self …

The lateral motion control of an in‐wheel motor drive electric vehicle (IWMD‐EV)
necessitates an accurate measurement of the vehicle states. However, these measured …

Abstract Model predictive control (MPC) is the mainstream method in the motion control of
autonomous vehicles. However, due to the complex and changeable driving environment …