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 …
This article addresses the tracking control problem of 3-D trajectories for underactuated underwater robotic vehicles operating in a constrained workspace including obstacles. More …
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 …
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 …
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 …
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 …
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 …
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) …
P Gong, Z Yan, W Zhang, J Tang - Ocean Engineering, 2022 - Elsevier
This paper presents the trajectory tracking problem for constrained autonomous underwater vehicles (AUVs). More specifically, a novel control framework of model predictive control …