ABSTRACT. An adaptive neural network controller has been developed for a model of an underwater vehicle. This controller combines radial basis neural ...
Particularly, using artificial neural networks (ANNs) in AUV control formulations has the advantage that the dynamics of the AUVs do not need be fully known and ...
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A neural network direct adaptive control method is studied in this paper. By using Lyapunov theory, we proved that the closed-loop tracking error of the ...
Feb 13, 2022 · This article proposes an unscented Kalman filter-based visual docking controller for underactuated underwater vehicles using a position-based visual servoing ( ...
This research presents a way to improve the autonomous maneuvering capability of a four-degrees-of-freedom (4DOF) autonomous underwater vehicle (AUV)
This paper describes the concept and an example of an adaptive neural-net controller system for an underwater vehicle.
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A type of direct adaptive control method based on generalized dynamic fuzzy neural networks for underwater vehicles was proposed in this paper.
This paper addresses a formation tracking problem of multiple low-cost underwater drones by implementing distributed adaptive neural network control (DANNC).
Abstract: A neural-network-based learning control scheme for the motion control of autonomous underwater vehicles (AUV) is described.
A direct adaptive neural net controller incorporating integral action was designed for the heave motion of the ODIN underwater vehicle. The neural net.