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 …

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 …

[HTML][HTML] A survey on unmanned underwater vehicles: Challenges, enabling technologies, and future research directions

A Wibisono, MJ Piran, HK Song, BM Lee - Sensors, 2023 - mdpi.com
Unmanned underwater vehicles (UUVs) are becoming increasingly important for a variety of
applications, including ocean exploration, mine detection, and military surveillance. This …

Robust trajectory tracking control for underactuated autonomous underwater vehicles in uncertain environments

S Heshmati-Alamdari, A Nikou… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article addresses the tracking control problem of 3-D trajectories for underactuated
underwater robotic vehicles operating in a constrained workspace including obstacles. More …

Trajectory tracking control of autonomous underwater vehicles using improved tube-based model predictive control approach

LY Hao, RZ Wang, C Shen, Y Shi - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article aims to develop a robust model predictive control (MPC) scheme for the
trajectory tracking control of autonomous underwater vehicles (AUVs) subject to bounded …

Path-following control of unmanned underwater vehicle based on an improved TD3 deep reinforcement learning

Y Fan, H Dong, X Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This work proposes an innovative path-following control method, anchored in deep
reinforcement learning (DRL), for unmanned underwater vehicles (UUVs). This approach is …

A review of different designs and control models of remotely operated underwater vehicle

Y He, DB Wang, ZA Ali - Measurement and Control, 2020 - journals.sagepub.com
This article reviews remotely operated underwater vehicle (ROUV) and its different types
focusing on the control systems. This study offers a brief introduction of unmanned …

Extended state observer-based controller with model predictive governor for 3-D trajectory tracking of underactuated underwater vehicles

S Kong, J Sun, C Qiu, Z Wu, J Yu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, an extended state observer (ESO)-based controller with a model predictive
governor is designed for 3-D trajectory tracking of underactuated underwater vehicles. The …

Reinforcement learning based model-free optimized trajectory tracking strategy design for an AUV

K Duan, S Fong, CLP Chen - Neurocomputing, 2022 - Elsevier
Considering the fact that it is very difficult to fully model an autonomous underwater vehicle
(AUV) in the complex water environment, this paper presents a model-free tracking control …

Lyapunov-based model predictive control trajectory tracking for an autonomous underwater vehicle with external disturbances

P Gong, Z Yan, W Zhang, J Tang - Ocean Engineering, 2021 - Elsevier
This paper focus on the trajectory tracking of autonomous underwater vehicles (AUVs) in
complex ocean environments. A novel Lyapunov-based Model Predictive Control (LMPC) …