A Novel Neural Network-Based Adaptive Formation Control for Cooperative Transportation of an Underwater Payload Using a Fleet of UUVs

A Novel Neural Network-Based Adaptive Formation Control for Cooperative Transportation of an Underwater Payload Using a Fleet of UUVs

This article studies the cooperative underwater payload transportation problem for multiple unmanned underwater vehicles (UUVs) operating in a constrained workspace with both static and dynamic obstacles. A novel cooperative formation control algorithm has been presented in this paper for the transp...

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Bibliographic Details
Main Authors: Wen Pang, Daqi Zhu, Mingzhi Chen, Wentao Xu, Bin Wang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Drones
Subjects:
multiple UUV systems
underwater cooperative transportation
formation reconfiguration control
motion planning
neural networks
interfered fluid flow
Online Access:https://www.mdpi.com/2504-446X/9/7/465
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