Survey of deep learning for autonomous surface vehicles in marine environments
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 …
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
This paper investigates the fixed-time prescribed performance trajectory tracking control for
the unmanned surface vehicle with unknown dynamics and disturbances. At first, an …
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
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 …
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
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 …
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 …
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 …
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 …
affected by input saturation, parametric uncertainties, time-varying marine environmental …
Improving commute experience for private car users via blockchain-enabled multitask learning
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 …
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
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 …
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
This paper investigates the control issue of marine surface vehicles (MSVs) subject to
internal and external uncertainties without velocity information. Utilizing the specific …
internal and external uncertainties without velocity information. Utilizing the specific …