Trajectory tracking control, as one of the core technologies of intelligent driving vehicles,
determines the driving performance and safety of intelligent driving vehicles and has …

Autonomous driving has the potential to revolutionize mobility and transportation by
reducing road accidents, alleviating traffic congestion, and mitigating air pollution. This …

Path‐tracking and lane‐keeping efficiency of driverless cars remain critical characteristics of
the efficient and safe deployment of such vehicles in future intelligent transportation systems …

Decision-making techniques are among important topics applied in operations research.
Multi-Criteria Decision-Making (MCDM) is one of the very commonly used subjects of this …

In this article, the problem of trajectory tracking control is studied for autonomous vehicle
with consideration of the nonlinearity and coupling characteristics. To achieve accurately …

Longitudinal motion controllers based on over-simplified models result in steady-state
errors, oscillations, and overshoots of the velocity, all of which impair the unmanned ground …

Economic efficient Autonomous Road Vehicles (ARVs) are invariably subjected to
uncertainties and perturbations. Therefore, control of vehicle systems requires stability to …

In this paper, a simple control methodology is proposed to stabilize the position of the
sprung mass of the quarter car system. The simplicity of the structure of the proposal …

This paper presents a novel adaptive second-order non-singular terminal sliding mode
control combined with a radial basic neural network structure and a triangular neural …

Autonomous vehicle steering control is sensitive to the vehicle driving speed and traditional
model-based approaches are limited by the accuracy of the control model in various driving …