@article{pop00064b,
title = {Cerrahın anlık yönlendirilebildiği robot yardımlı endoskop kontrol sistemi mimarisi-NeuRoboScope},
author = {MİC Dede and G Kiper and T Ayav and E Tatlıcıoğlu and B Özdemirel and O Maaroof and G Ateş and ...},
year = {2018},
date = {2018-01-01},
journal = {Boğaziçi Üniversitesi},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{pop00067,
title = {Neuroboscope sisteminin model tabanlı sınaması},
author = {B Uzun and T Ayav and MİC Dede and M Berker and İ Işıkay and Ş Hanalioğlu and B Özdemirel and ...},
year = {2016},
date = {2016-01-01},
journal = {Eskişehir Osmangazi Üniversitesi},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Deniz2016,
title = {Robust output tracking control of an unmanned aerial vehicle subject to additive state dependent disturbance},
author = {Meryem Deniz and Barbaros Özdemirel and Alper Bayrak and İlker Tanyer and Enver Tatlıcıoğlu and Erkan Zergeroğlu},
doi = {10.1049/iet-cta.2015.1304},
issn = {1751-8644},
year = {2016},
date = {2016-01-01},
journal = {IET Control Theory & Applications},
abstract = {textcopyright The Institution of Engineering and Technology 2016. In this study, an asymptotic tracking controller is developed for an aircraft model subject to additive, state-dependent, non-linear disturbance-like terms. Dynamic inversion technique in conjunction with robust integral of the sign of the error term is utilised in the controller design. Compared to the previous studies, the need of acceleration measurements of the aircraft have been removed. In addition, the proposed controller design utilises only the output of aircraft dynamics. Lyapunov based analysis is applied to prove global asymptotic convergence of the tracking error signal. Numerical simulation results are presented to illustrate the performance of the proposed robust controller.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{pop00018d,
title = {Design of an experimental twin‐rotor multi‐input multi‐output system},
author = {A Bayrak and F Dogan and E Tatlicioglu and B Ozdemirel},
year = {2015},
date = {2015-01-01},
journal = {Computer Applications in Engineering Education},
volume = {23},
number = {4},
pages = {578--586},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Bayrak2015b,
title = {Design of an experimental twin-rotor multi-input multi-output system},
author = {Alper Bayrak and Firat Dogan and Enver Tatlicioglu and Barbaros Ozdemirel},
doi = {10.1002/cae.21628},
issn = {10990542},
year = {2015},
date = {2015-01-01},
journal = {Computer Applications in Engineering Education},
abstract = {textcopyright 2015 Wiley Periodicals, Inc.Twin-rotor multi-input multi-output system (TRMS) is a popular experimental setup utilized mostly for development and evaluation of aerovehicle control algorithms. Motivated by its popularity, construction steps of a TRMS setup in an academic setting are presented in this paper. Specifically, design of mechanical and electronic hardware components and development of related computer software are described in detail. Preliminary experiment results are also presented to demonstrate the performance of the system.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{Deniz2015,
title = {Modelling twin rotor system with artificial neural networks},
author = {Meryem Deniz and Baris Bidikli and Alper Bayrak and Barbaros Ozdemirel and Enver Tatlicioglu},
doi = {10.1109/siu.2015.7130042},
year = {2015},
date = {2015-01-01},
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.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}