[HTML][HTML] Model predictive path tracking control for automated road vehicles: A review

P Stano, U Montanaro, D Tavernini, M Tufo… - Annual reviews in …, 2023 - Elsevier
Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In
the last decade, automated driving has been the focus of intensive automotive engineering …

[HTML][HTML] Model predictive control for autonomous ground vehicles: a review

S Yu, M Hirche, Y Huang, H Chen… - Autonomous Intelligent …, 2021 - Springer
This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …

Extremum-seeking-based adaptive model-free control and its application to automated vehicle path tracking

Z Wang, X Zhou, J Wang - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
Traditional automated vehicle path-tracking algorithms require plant models to derive the
respective control laws. However, the accurate vehicle model is difficult to obtain due to the …

A polytopic model-based robust predictive control scheme for path tracking of autonomous vehicles

J Liang, Q Tian, J Feng, D Pi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The rapid development of the active front-wheel steering technique makes it possible to
pursue precise, fast, and reliable path-tracking control for autonomous vehicles. To mitigate …

Trajectory tracking of autonomous vehicle: A differential flatness approach with disturbance-observer-based control

X Wang, W Sun - IEEE Transactions on Intelligent Vehicles, 2022 - ieeexplore.ieee.org
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 …

NMPC-based controller for vehicle longitudinal and lateral stability enhancement under extreme driving conditions

Z Li, P Wang, S Cai, X Hu, H Chen - ISA transactions, 2023 - Elsevier
This paper proposes a real-time NMPC-based controller for four-wheel independent motor-
drive electric vehicles to improve vehicle longitudinal and lateral stability under extreme …

Automated Vehicle Path Following: A Non-Quadratic-Lyapunov-Function-Based Model Reference Adaptive Control Approach With C-Smooth Projection …

X Zhou, Z Wang, J Wang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Adaptive control theory has ushered in a fruitful era for the research and development of
intelligent ground vehicle transportation systems. Notably, owing to its intelligence of …

ES-DQN: A learning method for vehicle intelligent speed control strategy under uncertain cut-in scenario

Q Chen, W Zhao, L Li, C Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Uncertain cut-in maneuver of vehicles from adjacent lanes makes it difficult for vehicle's
automatic speed control strategy to make judgments and effective control decisions. In this …

Automated ground vehicle path-following: A robust energy-to-peak control approach

X Zhou, Z Wang, J Wang - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Due to the simultaneous existence of model uncertainties and external disturbances,
designing automated ground vehicle path-following controllers is recognized as a …

Ground vehicle lane-keeping assistance system via differential flatness output feedback control and algebraic derivative estimation

Z Wang, X Zhou, A Cosio, J Wang - Control Engineering Practice, 2023 - Elsevier
Vehicle run-off-road is one of the most frequent and fatal traffic accidents in the United
States. Various lane-keeping assistance (LKA) systems have been developed in the last …