[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 …

Connected and automated vehicles: Infrastructure, applications, security, critical challenges, and future aspects

M Sadaf, Z Iqbal, AR Javed, I Saba, M Krichen… - Technologies, 2023 - mdpi.com
Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …

Review and performance evaluation of path tracking controllers of autonomous vehicles

M Rokonuzzaman, N Mohajer… - IET Intelligent …, 2021 - Wiley Online Library
Abstract Autonomous Vehicles (AVs) have shown indelible and revolutionary effects on
accident reduction and more efficient use of travel time, with outstanding socio‐economic …

MPC-based cooperative control strategy of path planning and trajectory tracking for intelligent vehicles

Z Zuo, X Yang, Z Li, Y Wang, Q Han… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we propose a progressive model predictive control scheme (PMPCS) by
considering the cooperative control of local planning and path tracking for intelligent …

A computationally efficient path-following control strategy of autonomous electric vehicles with yaw motion stabilization

N Guo, X Zhang, Y Zou, B Lenzo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article proposes a computationally efficient path-following control strategy of
autonomous electric vehicles (AEVs) with yaw motion stabilization. First, the nonlinear …

Active safety control of automated electric vehicles at driving limits: A tube-based MPC approach

P Hang, X Xia, G Chen, X Chen - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To enhance the active safety performance for automated electric vehicles (AEVs) at driving
limits, the collaborative control of four-wheel steering (4WS) and direct yaw-moment control …

Particle swarm optimization algorithm with intelligent particle number control for optimal design of electric machines

JH Lee, JY Song, DW Kim, JW Kim… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
In this study, we propose a modified particle swarm optimization (PSO) algorithm, which is
an improved version of the conventional PSO algorithm. To improve the performance of the …

Autonomous vessels: state of the art and potential opportunities in logistics

Y Gu, JC Goez, M Guajardo… - … in Operational Research, 2021 - Wiley Online Library
The growth in technology on autonomous transportation systems is currently motivating a
number of research initiatives. This paper first presents a survey of the literature on …

Optimal design of low computational burden model predictive control based on SSDA towards autonomous vehicle under vision dynamics

M Elsisi, MA Ebrahim - International Journal of Intelligent …, 2021 - Wiley Online Library
The adjusting of autonomous vehicles (AVs) steering angle represents a challenging issue
in the intelligent vehicular applications. Among different control strategies, the model …

Dynamic state estimation for the advanced brake system of electric vehicles by using deep recurrent neural networks

Y Xing, C Lv - IEEE Transactions on Industrial Electronics, 2019 - ieeexplore.ieee.org
Dynamic state estimation is of considerable importance to the system monitoring, advanced
control, and energy management of electrified vehicles (EVs). Among the dynamic states of …