With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …

It is a striking fact that the characteristics of parametric uncertainties, external disturbance,
time-varying and nonlinearities are available in the constructed model of autonomous …

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 …

Narrow electric three-wheeled vehicles are a potential solution to stringent issues of traffic
congestion, parking space, vehicular emissions and the fuel crisis. However, narrow three …

This paper provides a new solution for path following control of autonomous ground
vehicles. H 2 control problem is considered to attenuate the effect of the road curvature …

This article investigates a new observer design method to estimate simultaneously both the
vehicle dynamics and the unknown driver's torque. To take into account the time-varying …

Accurate physical modeling of vehicle dynamics requires extensive a priori knowledge of the
studied vehicle. In contrast, data-driven modeling approaches require only a set of data that …

This paper investigates the problem of path tracking control for autonomous ground vehicles
(AGVs), where the input saturation, system nonlinearities and uncertainties are considered …

A novel hierarchical direct yaw moment controller is designed to enhance the lateral stability
of the four-wheel-drive electric vehicle. The adaptive sliding mode control (ASMC) technique …

Realistic uncertainties and disturbances cannot be ignored when striving towards high-
performance autonomous driving. Meanwhile, advanced vehicular sensing technology …