Random network delay will introduce uncertainty into trajectory tracking model of the
autonomous vehicle, which seriously deteriorates the vehicle's control system stability and …

The automated steering control technology is crucial for an autonomous vehicle, but due to
parametric uncertainties and time varying, the performance of automated steering control …

This paper concerns the robust gain-scheduling control issue for autonomous path following
systems with stochastic network-induced delay. Firstly, to effectively approximate the highly …

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 …

Model predictive control is one of the main methods used in path tracking for autonomous
vehicles. To improve the path tracking performance of the vehicle, a path tracking method …

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

In this paper, we investigate the PID controller design problem of path following for an
autonomous ground vehicle (AGV). Firstly, a bicycle model is adopted and a vehicle offset …

This paper proposes a novel robust event‐triggered fault tolerant automatic steering control
strategy for autonomous land vehicles to achieve path tracking and vehicle lateral motion …

Due to the uncertainty of vehicle model parameters, modeling errors and external
disturbances, the performance of path tracking control system is poor, especially under high …

This paper proposes a multi-input multi-output (MIMO) method for path tracking control of
autonomous vehicles under network-induced delays while taking into account the roll …