Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9929
Title: Modelling twin rotor system with artificial neural networks
Authors: Deniz, Meryem
Bıdıklı, Barış
Bayrak, Alper
Özdemirel, Barbaros
Tatlıcıoğlu, Enver
Keywords: Artificial neural network
Twin rotor system
Modelling
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: In this study, the input output relation of the twin rotor system which was constructed in our laboratory is obtained by using ANNs. When compared with the existing literature, main advantage of this modelling approach is that multi input multi output ANN structure is used preferred. As a result of this approach, the cross coupling effects, between the rotors and also between the outputs, are taken into consideration. Thus, we sincerely believe that the obtained input output model demonstrates a close behavior to the real system.
Description: 23nd Signal Processing and Communications Applications Conference (SIU)
URI: https://hdl.handle.net/11147/9929
ISBN: 978-1-4673-7386-9
ISSN: 2165-0608
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

Page view(s)

16
checked on Nov 29, 2021

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.