Physics-Informed Deep Learning for System Identification of Autonomous Underwater Vehicles : A Lagrangian Neural Network Approach

Physics-Informed Deep Learning for System Identification of Autonomous Underwater Vehicles : A Lagrangian Neural Network Approach

In this thesis, we explore Lagrangian Neural Networks (LNNs) for system identification of Autonomous Underwater Vehicles (AUVs) with 6 degrees of freedom. One of the main challenges of AUVs is that they have limited wireless communication and navigation under water. AUVs operate under strict and unc...

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Bibliographic Details
Main Author: Mirzai, Badi
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2021
Subjects:
AUV
System Identification
Deep Learning
Physics-Informed Deep Learning
Lagrangian Neural Networks
System Identifiering
Djupinlärning
Fysik-Informerad Djupinlärning
Lagrangianska Neurala Nätverk
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301626

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301626

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