Results 11 to 20 of about 460 (124)
Subjective machines: Probabilistic risk assessment based on deep learning of soft information
Abstract For several years machine learning methods have been proposed for risk classification. While machine learning methods have also been used for failure diagnosis and condition monitoring, to the best of our knowledge, these methods have not been used for probabilistic risk assessment. Probabilistic risk assessment is a subjective process.
Mario P. Brito +2 more
wiley +1 more source
The aim of this paper is to present a novel sliding mode control scheme for the supercavitating vehicle trajectory tracking problem that subjects to external disturbances and actuator saturation with two symmetric elevators and a cavitator as actuators by analytical methods and computer simulations. Firstly, the nonlinear and highly coupled dynamic and
Guang Yang +4 more
wiley +1 more source
Abstract The problem of trajectory tracking control for underactuated surface vessels with time‐delays, model uncertainty and unknown control directions has been considered in this paper. Firstly, an integration time delayed sliding mode controller is proposed, which decomposes the underactuated non‐linear system into a cascading system consisting of a
Hua Chen, Yun Chen, Mengqi Wang
wiley +1 more source
This study provides a new embedded linear model (ELM) three‐dimensional fuzzy PID control method for a bionic autonomous underwater vehicle (AUV), which is disturbed by ocean waves. The uncertainty of the ocean waves will make it difficult for the AUV to achieve good sailing quality, especially near the sea surface.
Da Lyu +6 more
wiley +1 more source
This paper analyzes the trajectory tracking problem in decoupled planes for X-rudder AUVs under time-varying, unknown environmental interferences. The proposed scheme consists of the kinematic control law based on the compound line-of-sight guidance law and the dynamic control law based on a non-singular adaptive integral terminal sliding mode control (
Chengren Yuan +3 more
openaire +2 more sources
Since its beginning, around the 50s decade, until present days, the area of unmanned underwater vehicles (UUV) has considerably grown through time; those have been used for many tasks and applications, from bomb searching and recovery to sea exploration. Initially, these robots were used mainly for military and scientific purposes.
Javier Neira +6 more
wiley +1 more source
Composite Curve Path following an Underactuated AUV
This paper addresses the problem of composite curve path following for an underactuated autonomous underwater vehicle by utilizing an adaptive integral line‐of‐sight (AILOS) guidance and nonlinear iterative sliding mode (NISM) controller. First, the composite curve path is parametrized by a common scalar variable in a continuous way.
Ben Li +5 more
wiley +1 more source
Deep Reinforcement Learning for Vectored Thruster Autonomous Underwater Vehicle Control
Autonomous underwater vehicles (AUVs) are widely used to accomplish various missions in the complex marine environment; the design of a control system for AUVs is particularly difficult due to the high nonlinearity, variations in hydrodynamic coefficients, and external force from ocean currents.
Tao Liu, Yuli Hu, Hui Xu, Shenggang Li
wiley +1 more source
A Staged Finite‐Time Control Strategy for Formation of Underactuated Unmanned Surface Vehicles
The formation control issue for a group of underactuated unmanned surface vehicles (USVs) is discussed in the paper, and a staged finite‐time control strategy for the USVs is proposed. Firstly, we try to steer each USV to its own starting point in the formation for a limited time, under the initial condition that each of these vehicles is parked at ...
Hui Ye +4 more
wiley +1 more source
Research Progress of Path Planning Methods for Autonomous Underwater Vehicle
Path planning is a key technology for autonomous underwater vehicle (AUV) navigation. With the emphasis and research on AUV, AUV path planning technology is continuously developing. Path planning techniques generally include environment modelling methods and path planning algorithms.
Yinjing Guo +4 more
wiley +1 more source

