Auv trajectory tracking models and control strategies: A review

D Li, L Du - Journal of Marine Science and Engineering, 2021 - mdpi.com
Autonomous underwater vehicles (AUVs) have been widely used to perform underwater
tasks. Due to the environmental disturbances, underactuated problems, system constraints …

MPC-based motion planning and control enables smarter and safer autonomous marine vehicles: Perspectives and a tutorial survey

H Wei, Y Shi - IEEE/CAA Journal of Automatica Sinica, 2022 - ieeexplore.ieee.org
Autonomous marine vehicles (AMVs) have received considerable attention in the past few
decades, mainly because they play essential roles in broad marine applications such as …

A systematic survey of control techniques and applications in connected and automated vehicles

W Liu, M Hua, Z Deng, Z Meng, Y Huang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

Trajectory tracking control of an autonomous underwater vehicle using Lyapunov-based model predictive control

C Shen, Y Shi, B Buckham - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
This paper studies the trajectory tracking control problem of an autonomous underwater
vehicle (AUV). We develop a novel Lyapunov-based model predictive control (LMPC) …

A real-time nonlinear model predictive controller for yaw motion optimization of distributed drive electric vehicles

N Guo, B Lenzo, X Zhang, Y Zou… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper proposes a real-time nonlinear model predictive control (NMPC) strategy for
direct yaw moment control (DYC) of distributed drive electric vehicles (DDEVs). The NMPC …

Advanced control in marine mechatronic systems: A survey

Y Shi, C Shen, H Fang, H Li - IEEE/ASME transactions on …, 2017 - ieeexplore.ieee.org
This paper surveys the recent advances in marine mechatronic systems from a control
perspective. The survey is by no means exhaustive, but introduces some notable results in …

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 …

Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives

Y Shi, K Zhang - Annual Reviews in Control, 2021 - Elsevier
This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

Distributed implementation of nonlinear model predictive control for AUV trajectory tracking

C Shen, Y Shi - Automatica, 2020 - Elsevier
This paper studies the trajectory tracking control of an autonomous underwater vehicle
(AUV). We investigate the nonlinear model predictive control (NMPC) method looking for …

A stochastic predictive energy management strategy for plug-in hybrid electric vehicles based on fast rolling optimization

C Yang, S You, W Wang, L Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article proposes a stochastic predictive energy management strategy based on fast
rolling optimization for plug-in hybrid electric vehicles (PHEVs). First, combined with a large …