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...

Celý popis

Podrobná bibliografie

Vydáno v:	Engineering applications of artificial intelligence Ročník 114; s. 105160
Hlavní autoři:	Park, Bong Seok, Yoo, Sung Jin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2022
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!