Model Predictive Controller (MPC) is a capable technique for designing Path Tracking
Controller (PTC) of Autonomous Vehicles (AVs). The performance of MPC can be …

Autonomous vehicle path tracking accuracy and vehicle stability can hardly be
accomplished by one fixed control frame in various conditions due to the changing vehicle …

Path Tracking Controller (PTC) plays a key role in achieving improved dynamic behaviour of
Autonomous Vehicle (AV) while it is mainly responsible for implementing the planned paths …

Efficient path tracking plays a key role in the overall ride experience of Autonomous Vehicles
(AVs). Model Predictive Control (MPC) is one of the most competent techniques which is …

This paper proposes two different event-triggered nonlinear model predictive controls
(NMPC) for autonomous vehicle path tracking. The difference between the two event …

Kinematic model predictive control (MPC) is well known for its simplicity and computational
efficiency for path tracking of autonomous vehicles, however, it merely works well at low …

As one of the research focuses in the field of intelligent driving, improving the performance of
path tracking has become a goal for many scholars. Among many path tracking control …

Model predictive control (MPC) has been widely researched for automotive control.
However, the real-world application of MPC for autonomous vehicles (AV) is still limited due …

Autonomous vehicle path tracking accuracy faces challenges in being accomplished due to
the assumption that the longitudinal speed is constant in the prediction horizon in a model …

To improve the stability of the autonomous vehicle for high speed tracking, a vehicle
estimator scheme integrated into a path-tracking system has been proposed in this paper …