Advances in line-of-sight guidance for path following of autonomous marine vehicles: An overview

N Gu, D Wang, Z Peng, J Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Autonomous marine vehicles (AMVs), including autonomous surface and underwater
vehicles, are versatile means to explore, exploit, monitor, and protect marine resources and …

[HTML][HTML] A review of machine learning and deep learning applications in wave energy forecasting and WEC optimization

A Shadmani, MR Nikoo, AH Gandomi, RQ Wang… - Energy Strategy …, 2023 - Elsevier
Ocean energy technologies are in their developmental stages, like other renewable energy
sources. To be useable in the energy market, most components of wave energy devices …

Output-feedback path-following control of autonomous underwater vehicles based on an extended state observer and projection neural networks

Z Peng, J Wang - IEEE Transactions on Systems, Man, and …, 2017 - ieeexplore.ieee.org
This paper presents a design method for output-feedback path-following control of under-
actuated autonomous underwater vehicles moving in a vertical plane without using surge …

A predictive type-3 fuzzy control for underactuated surface vehicles

A Taghieh, C Zhang, KA Alattas, Y Bouteraa… - Ocean …, 2022 - Elsevier
In this paper, a path-following control (PFC) problem of an underactuated surface vehicle
(USV) is scrutinized based on an interval type-3 fuzzy logic system (IT3FLS). The suggested …

Intelligent motion control of unmanned surface vehicles: A critical review

MJ Er, C Ma, T Liu, H Gong - Ocean Engineering, 2023 - Elsevier
As one of the emerging tools of ocean operation, unmanned surface vehicles (USVs) have
shown great potential in ocean exploration in recent years. Motion control is an important …

Finite-time PLOS-based integral sliding-mode adaptive neural path following for unmanned surface vessels with unknown dynamics and disturbances

Y Yu, C Guo, H Yu - IEEE transactions on automation science …, 2019 - ieeexplore.ieee.org
Unmanned surface vessels (USVs) are supposed to be able to adapt unstructured
environments by means of multi-sensor active perception without any human interference …

Model-based event-triggered tracking control of underactuated surface vessels with minimum learning parameters

Y Deng, X Zhang, N Im, G Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article studies the model-based event-triggered control (ETC) for the tracking activity of
the underactuated surface vessel (USV). Following this ideology, the continuous acquisition …

Adaptive neural control of flight-style AUV for subsea cable tracking under electromagnetic localization guidance

J Zhang, X **ang, W Li, Q Zhang - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
This article focuses on an industrial system for the intelligent inspection of subsea cables
based on a flight-style autonomous underwater vehicle (AUV) that tracks the route of subsea …

Path planning and dynamic collision avoidance algorithm under COLREGs via deep reinforcement learning

X Xu, P Cai, Z Ahmed, VS Yellapu, W Zhang - Neurocomputing, 2022 - Elsevier
As one of the core technologies of the automatic control system for unmanned surface
vehicles (USVs), autonomous collision avoidance algorithm is the key to ensure the safe …

Distributed coordinated tracking control of multiple unmanned surface vehicles under complex marine environments

X Liang, X Qu, Y Hou, Y Li, R Zhang - Ocean Engineering, 2020 - Elsevier
In this paper, a coordinated tracking strategy with swarm center identification, self-organized
aggregation, collision avoidance and distributed controller design for multiple unmanned …