Survey of deep learning for autonomous surface vehicles in marine environments

Y Qiao, J Yin, W Wang, F Duarte… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Within the next several years, there will be a high level of autonomous technology that will
be available for widespread use, which will reduce labor costs, increase safety, save energy …

1 bit encoding–decoding-based event-triggered fixed-time adaptive control for unmanned surface vehicle with guaranteed tracking performance

X Song, C Wu, V Stojanovic, S Song - Control Engineering Practice, 2023 - Elsevier
This paper investigates the fixed-time prescribed performance trajectory tracking control for
the unmanned surface vehicle with unknown dynamics and disturbances. At first, an …

Adaptive finite-time backstep** control tracker for quadrotor UAV with model uncertainty and external disturbance

J Wang, KA Alattas, Y Bouteraa, O Mofid… - Aerospace Science and …, 2023 - Elsevier
In this study, for the purpose of finite-time tracking control of quad-rotor Unmanned Aerial
Vehicle (UAV) system under modeling uncertainties and external disturbances, an adaptive …

A3C-based intelligent event-triggering control of networked nonlinear unmanned marine vehicles subject to hybrid attacks

Z Ye, D Zhang, ZG Wu, H Yan - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
This paper is concerned with the intelligent event-triggering-based positioning control of
networked unmanned marine vehicle (UMV) systems with hybrid attacks, where the UMV …

Disturbance observer-based adaptive reinforcement learning for perturbed uncertain surface vessels

TL Pham, PN Dao - ISA transactions, 2022 - Elsevier
This article considers a problem of tracking, convergence of disturbance observer (DO)
based optimal control design for uncertain surface vessels (SVs) with external disturbance …

Adaptive neural network asymptotic control design for MIMO nonlinear systems based on event-triggered mechanism

Y Liu, Q Zhu - Information Sciences, 2022 - Elsevier
This article presents an adaptive neural network event-triggered asymptotic tracking control
strategy for multi-input and multi-output (MIMO) nonlinear systems with state constraints and …

Minimum-learning-parameter-based adaptive finite-time trajectory tracking event-triggered control for underactuated surface vessels with parametric uncertainties

J Qin, J Du - Ocean Engineering, 2023 - Elsevier
For the problem of trajectory tracking control of underactuated surface vessels (USVs)
affected by input saturation, parametric uncertainties, time-varying marine environmental …

Improving commute experience for private car users via blockchain-enabled multitask learning

J Yang, K Yang, Z **ao, H Jiang, S Xu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With deepening urbanization and Internet of Vehicles (IoV) applications, the number of
private cars has been increasing in recent years. However, because the surging number of …

Robust adaptive neural control for wing-sail-assisted vehicle via the multiport event-triggered approach

G Zhang, J Li, X **, C Liu - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
This article presents a robust adaptive neural control algorithm for the wing-sail-assisted
vehicle to track the desired waypoint-based route, where the event-triggered mechanism is …

Dynamic event-triggered adaptive neural output feedback control for MSVs using composite learning

G Zhu, Y Ma, Z Li, R Malekian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates the control issue of marine surface vehicles (MSVs) subject to
internal and external uncertainties without velocity information. Utilizing the specific …