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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 |
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: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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