Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning

I Carlucho, M De Paula, S Wang, Y Petillot… - Robotics and …, 2018 - Elsevier
Low-level control of autonomous underwater vehicles (AUVs) has been extensively
addressed by classical control techniques. However, the variable operating conditions and …

Guidance-error-based robust fuzzy adaptive control for bottom following of a flight-style AUV with saturated actuator dynamics

C Yu, X Xiang, PA Wilson… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper addresses the problem of robust bottom following control for a flight-style
autonomous underwater vehicle (AUV) subject to system uncertainties, actuator dynamics …

Optimal design of low computational burden model predictive control based on SSDA towards autonomous vehicle under vision dynamics

M Elsisi, MA Ebrahim - International Journal of Intelligent …, 2021 - Wiley Online Library
The adjusting of autonomous vehicles (AVs) steering angle represents a challenging issue
in the intelligent vehicular applications. Among different control strategies, the model …

The lateral tracking control for the intelligent vehicle based on adaptive PID neural network

G Han, W Fu, W Wang, Z Wu - Sensors, 2017 - mdpi.com
The intelligent vehicle is a complicated nonlinear system, and the design of a path tracking
controller is one of the key technologies in intelligent vehicle research. This paper mainly …

Saturation based nonlinear PID control for underwater vehicles: Design, stability analysis and experiments

J Guerrero, J Torres, V Creuze, A Chemori, E Campos - Mechatronics, 2019 - Elsevier
During sea missions, underwater vehicles are often exposed to changes in the parameters
of their control systems and subject to external disturbances due to the influences of ocean …

Towards automated statistical partial discharge source classification using pattern recognition techniques

H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Double Q-PID algorithm for mobile robot control

I Carlucho, M De Paula, GG Acosta - Expert Systems with Applications, 2019 - Elsevier
Many expert systems have been developed for self-adaptive PID controllers of mobile
robots. However, the high computational requirements of the expert systems layers …

State-of-the-art trajectory tracking of autonomous vehicles

L Li, J Li, S Zhang - Mechanical Sciences, 2021 - ms.copernicus.org
Air pollution, energy consumption, and human safety issues have aroused people's concern
around the world. This phenomenon could be significantly alleviated with the development …

Sideslip-compensated guidance-based adaptive neural control of marine surface vessels

R Rout, R Cui, W Yan - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article presents an improved guidance law for underactuated marine vessels that
compensates cross-track error caused by external disturbances through its sideslip. The …

Dynamics modeling and motion control of an new unmanned underwater vehicle

F Kong, Y Guo, W Lyu - IEEE Access, 2020 - ieeexplore.ieee.org
The structure design of an autonomous/remote underwater vehicle, Intelligence Ocean I (IO-
I), capable of operating in ROV or AUV mode and acquiring marine environment information …