| A context layered locally recurrent neural network for dynamic system identification R Coban Engineering Applications of Artificial Intelligence 26 (1), 241-250, 2013 | 75 | 2013 |
| A fuzzy controller design for nuclear research reactors using the particle swarm optimization algorithm R Coban Nuclear Engineering and Design 241 (5), 1899-1908, 2011 | 65 | 2011 |
| Power level control of the TRIGA Mark-II research reactor using the multifeedback layer neural network and the particle swarm optimization R Coban Annals of Nuclear Energy 69, 260-266, 2014 | 53 | 2014 |
| Artificial bee colony algorithm based linear quadratic optimal controller design for a nonlinear inverted pendulum ATA Baris, R Coban International Journal of Intelligent Systems and Applications in Engineering …, 2015 | 44 | 2015 |
| Backstepping integral sliding mode control of an electromechanical system R Coban Automatika: časopis za automatiku, mjerenje, elektroniku, računarstvo i …, 2017 | 41 | 2017 |
| Sliding mode PI control with backstepping approach for MIMO nonlinear cross‐coupled tank systems IO Aksu, R Coban International Journal of Robust and nonlinear control 29 (6), 1854-1871, 2019 | 39 | 2019 |
| A trajectory tracking genetic fuzzy logic controller for nuclear research reactors R Coban, B Can Energy Conversion and Management 51 (3), 587-593, 2010 | 33 | 2010 |
| Identification of linear dynamic systems using the artificial bee colony algorithm Ö Ercin, R Coban Turkish Journal of Electrical Engineering and Computer Sciences 20 (7), 1175 …, 2012 | 31 | 2012 |
| Computational intelligence-based trajectory scheduling for control of nuclear research reactors R Coban Progress in Nuclear Energy 52 (4), 415-424, 2010 | 31 | 2010 |
| Dynamical adaptive integral backstepping variable structure controller design for uncertain systems and experimental application R Coban International Journal of Robust and Nonlinear Control 27 (18), 4522-4540, 2017 | 29 | 2017 |
| Comparison of the artificial bee colony and the bees algorithm for PID controller tuning O Ercin, R Coban 2011 international symposium on innovations in intelligent systems and …, 2011 | 26 | 2011 |
| Adaptive backstepping sliding mode control with tuning functions for nonlinear uncertain systems R Coban International Journal of Systems Science 50 (8), 1517-1529, 2019 | 25 | 2019 |
| Decoupled sliding mode control of an inverted pendulum on a cart: An experimental study R Coban, B Ata 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM …, 2017 | 22 | 2017 |
| Neuro-controller design by using the multifeedback layer neural network and the particle swarm optimization R Coban, IO Aksu Tehnički vjesnik 25 (2), 437-444, 2018 | 21 | 2018 |
| Lise öğrencilerinde dindarlık ve sanal bağımlılık arasındaki ilişki üzerine bir araştırma (Burdur Gölhisar örneği) R Çoban Sosyal Bilimler Enstitüsü, 2013 | 21 | 2013 |
| Ücret düzeyinden tatmin, işte kalma niyeti ve yaşam tatmini ilişkisinde algılanan alternatif iş fırsatlarının düzenleyici rolü ŞN Seçkin, R Çoban İşletme Araştırmaları Dergisi 9 (3), 134-148, 2017 | 20 | 2017 |
| Multi-objective bees algorithm to optimal tuning of PID controller R ÇOBAN, Ö ERÇİN Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 27 (2), 13-26, 2012 | 20 | 2012 |
| An expert trajectory design for control of nuclear research reactors R Coban, B Can Expert Systems with Applications 36 (9), 11502-11508, 2009 | 19 | 2009 |
| Uçak bakım sektöründe iş yükü ve zaman baskısı üzerine bir örnek olay araştırması R Çoban Journal of Aviation 3 (1), 45-60, 2019 | 18 | 2019 |
| Linear quadratic optimal control of an inverted pendulum on a cart using artificial bee colony algorithm: an experimental study B Ata, R Coban Cukurova University Journal of the Faculty of Engineering and Architecture …, 2017 | 18 | 2017 |
