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MPC-based motion planning and control enables smarter and safer autonomous marine vehicles: Perspectives and a tutorial survey
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 …
decades, mainly because they play essential roles in broad marine applications such as …
Model predictive control for autonomous ground vehicles: A review
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 …
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
Unmanned underwater vehicles (UUVs) are becoming increasingly important for a variety of
applications, including ocean exploration, mine detection, and military surveillance. This …
applications, including ocean exploration, mine detection, and military surveillance. This …
Robust trajectory tracking control for underactuated autonomous underwater vehicles in uncertain environments
This article addresses the tracking control problem of 3-D trajectories for underactuated
underwater robotic vehicles operating in a constrained workspace including obstacles. More …
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
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 …
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 …
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 …
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
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 …
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
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 …
(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) …
complex ocean environments. A novel Lyapunov-based Model Predictive Control (LMPC) …