In this paper, an improved Model Predictive Control (MPC) controller based on fuzzy
adaptive weight control is proposed to solve the problem of autonomous vehicle in the …

It is an important and essential aspect for autonomous ground vehicles to follow the desired
path. In this manuscript, a path tracking controller using model predictive control (MPC) …

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 …

This paper introduces an integrated path tracking control strategy for autonomous vehicles.
The proposed control strategy is based on a multi-input multi-output linear model predictive …

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 …

In order to track the desired path as fast as possible, a novel autonomous vehicle path
tracking based on model predictive control (MPC) and PID speed control was proposed for …

Unmanned ground vehicle (UGV) is developing towards high mobility and intelligence,
where path tracking plays a particularly important role. This paper investigated the path …

The simplified vehicle model often results in inaccuracy with respect to the conventional
model predictive control (MPC) as it causes steady error in tracking control, which has …

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 …

Trajectory tracking control is a key technology in the research and development of
autonomous vehicles. With the aim of addressing problems such as low control accuracy …