Novel Levenberg-Marquardt based learning algorithm for unmanned aerial vehicles
type: Item
instance of: scholarly article
title: Novel Levenberg-Marquardt based learning algorithm for unmanned aerial vehicles
zbMATH Open document ID: 1447.93196
author: Andriy Sarabakha
author: Nursultan Imanberdiyev
author: Erdal Kayacan
author: Mojtaba Ahmadieh Khanesar
author: Hani Hagras
published in: Information Sciences
publication date: 2020-07-02T00:00:00Z
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93B12
Mathematics Subject Classification ID: 93C85
Mathematics Subject Classification ID: 93B70
zbMATH DE Number: 7216944
zbMATH Keywords: fuzzy neural networks
zbMATH Keywords: sliding mode control
zbMATH Keywords: Levenberg-Marquardt algorithm
zbMATH Keywords: type-1 fuzzy logic control
zbMATH Keywords: unmanned aerial vehicle
MaRDI profile type: Publication
full work available at URL: j.ins.2017.07.020
OpenAlex ID: W2735519414
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cites work: Introduction to feedback control of underactuated VTOLvehicles: A review of basic control design ideas and principles
cites work: Neural-network-based sliding-mode control for multiple rigid-body attitude tracking with inertial information completely unknown
cites work: Introduction to Type‐2 Fuzzy Logic Control
DOI: 10.1016/J.INS.2017.07.020
description: scientific article; zbMATH DE number 7216944