Quantized-communication-based neural network control for formation tracking of networked multiple unmanned surface vehicles without velocity information

This paper proposes a quantized communication-based output-feedback control strategy for formation tracking of networked unmanned surface vehicles (USVs) with uncertainty. Under limited network communication, it is assumed that each USV measures only the position and orientation information. In part...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 114; p. 105160
Main Authors:	Park, Bong Seok, Yoo, Sung Jin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2022
Subjects:	Adaptive observer Formation tracking Neural network control Quantized discontinuous interaction Unmanned surface vehicles (USVs) Neural network control Quantized discontinuous interaction Adaptive observer Formation tracking Unmanned surface vehicles (USVs)
ISSN:	0952-1976
Online Access:	Get full text
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