Multi pseudo Q-learning-based deterministic policy gradient for tracking control of autonomous underwater vehicles

W Shi, S Song, C Wu, CLP Chen - IEEE transactions on neural …, 2018 - ieeexplore.ieee.org
This paper investigates trajectory tracking problem for a class of underactuated autonomous
underwater vehicles (AUVs) with unknown dynamics and constrained inputs. Different from …

Event-triggered output-feedback adaptive tracking control of autonomous underwater vehicles using reinforcement learning

Y Deng, T Liu, D Zhao - Applied Ocean Research, 2021 - Elsevier
This paper investigates the event-triggered tracking control of fully actuated autonomous
underwater vehicles (AUVs) in the vertical plane. Specifically, this paper studies the ETC in …

Target tracking control of a biomimetic underwater vehicle through deep reinforcement learning

Y Wang, C Tang, S Wang, L Cheng… - … on Neural Networks …, 2021 - ieeexplore.ieee.org
In this article, the underwater target tracking control problem of a biomimetic underwater
vehicle (BUV) is addressed. Since it is difficult to build an effective mathematic model of a …

Adaptive optimal tracking control of an underactuated surface vessel using actor–critic reinforcement learning

L Chen, SL Dai, C Dong - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
In this article, we present an adaptive reinforcement learning optimal tracking control
(RLOTC) algorithm for an underactuated surface vessel subject to modeling uncertainties …

AUV path tracking with real-time obstacle avoidance via reinforcement learning under adaptive constraints

C Zhang, P Cheng, B Du, B Dong, W Zhang - Ocean Engineering, 2022 - Elsevier
In this paper, the methods are proposed for underactuated autonomous underwater vehicle
(AUV) to address three-dimensional (3D) path tracking and real-time obstacle avoidance …

Self‐learning‐based optimal tracking control of an unmanned surface vehicle with pose and velocity constraints

N Wang, Y Gao, Y Liu, K Li - International Journal of Robust …, 2022 - Wiley Online Library
In this article, subject to both pose and velocity constraints within narrow waters, a self‐
learning‐based optimal tracking control (SLOTC) scheme is innovatively created for an …

Path following control for UAV using deep reinforcement learning approach

Y Zhang, Y Zhang, Z Yu - Guidance, Navigation and Control, 2021 - World Scientific
Unmanned aerial vehicles (UAVs) have been extensively used in civil and industrial
applications due to the rapid development of the guidance, navigation and control (GNC) …

Path-following optimal control of autonomous underwater vehicle based on deep reinforcement learning

Z Wang, Y Li, C Ma, X Yan, D Jiang - Ocean Engineering, 2023 - Elsevier
In this paper, optimal control is applied in the path-following control problem for the
autonomous underwater vehicle (AUV) when the geometry information of path is known and …

Data-driven performance-prescribed reinforcement learning control of an unmanned surface vehicle

N Wang, Y Gao, X Zhang - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
An unmanned surface vehicle (USV) under complicated marine environments can hardly be
modeled well such that model-based optimal control approaches become infeasible. In this …

Reinforcement learning based model-free optimized trajectory tracking strategy design for an AUV

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 …