Backstepping-based adaptive control of underactuated AUV subject to unknown dynamics and zero tracking errors

This paper introduces a zero-error tracking control solution for underactuated autonomous underwater vehicle (AUV) facing unknown dynamic and environmental disturbances. The proposed approach integrates the backstepping method with adaptive techniques and neural networks to effectively address the c...

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Vydané v:	Ocean engineering Ročník 302; s. 117640
Hlavní autori:	Zhang, Xuxi, Jiang, Kun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.06.2024
Predmet:	Autonomous underwater vehicles Backstepping Neural networks Zero-error tracking control Autonomous underwater vehicles Backstepping Zero-error tracking control Neural networks
ISSN:	0029-8018, 1873-5258
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