Prof. RAMAZAN &#199;OBAN

INTERNATIONAL JOURNAL OF CONTROL , vol.95, no.7, pp.1767-1776, 2022 (SCI-Expanded, Scopus)

3. Decoupled Adaptive Backstepping Sliding Mode Control of Underactuated Mechanical Systems

CONTROL ENGINEERING AND APPLIED INFORMATICS , vol.24, no.1, pp.45-56, 2022 (SCI-Expanded, Scopus)

4. A numerical approach to solve the model of an electromechanical system

Alkan S., Aydin M. N., ÇOBAN R.

MATHEMATICAL METHODS IN THE APPLIED SCIENCES , vol.42, no.16, pp.5266-5273, 2019 (SCI-Expanded, Scopus)

5. Decoupled Backstepping Sliding Mode Control of Underactuated Systems with Uncertainty: Experimental Results

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , vol.44, no.8, pp.7013-7021, 2019 (SCI-Expanded, Scopus)

6. Adaptive backstepping sliding mode control with tuning functions for nonlinear uncertain systems

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE , vol.50, no.8, pp.1517-1529, 2019 (SCI-Expanded, Scopus)

7. Sliding mode PI control with backstepping approach for MIMO nonlinear cross-coupled tank systems

aksu I. O., ÇOBAN R.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL , vol.29, no.6, pp.1854-1871, 2019 (SCI-Expanded, Scopus)

8. Neuro-Controller Design by Using the Multifeedback Layer Neural Network and the Particle Swarm Optimization

ÇOBAN R., aksu I. O.

TEHNICKI VJESNIK-TECHNICAL GAZETTE , vol.25, no.2, pp.437-444, 2018 (SCI-Expanded, Scopus)

9. Dynamical adaptive integral backstepping variable structure controller design for uncertain systems and experimental application

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL , vol.27, no.18, pp.4522-4540, 2017 (SCI-Expanded, Scopus)

10. Backstepping Sliding Mode Tracking Controller Design and Experimental Application to an Electromechanical System

CONTROL ENGINEERING AND APPLIED INFORMATICS , vol.19, no.3, pp.88-96, 2017 (SCI-Expanded, Scopus)

11. Linear Quadratic Optimal Control of an Inverted Pendulum on a Cart using Artificial Bee Colony Algorithm: An Experimental Study

Çukurova Üniversitesi Mühendislik Mimarlik Fakültesi Dergisi , vol.32, no.2, pp.109-124, 2017 (TRDizin)

12. Yapay Arı Kolonisi Algoritması ile Bir Arabalı Ters Sarkacın Lineer Kuadratik Kontrolü: Deneysel Bir Çalışma

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi , vol.32, no.2, pp.109-124, 2017 (TRDizin)

13. Backstepping integral sliding mode control of an electromechanical system

AUTOMATIKA , vol.58, no.3, pp.266-272, 2017 (SCI-Expanded, Scopus)

14. Artificial Bee Colony Algorithm Based Linear Quadratic Optimal Controller Design for a Nonlinear Inverted Pendulum

Ata B., Çoban R.

INTERNATİONAL JOURNAL OF INTELLİGENT SYSTEMS AND APPLİCATİONS İN ENGİNEERİNG , vol.3, no.1, pp.1-6, 2015 (TRDizin)

15. Power level control of the TRIGA Mark-II research reactor using the multifeedback layer neural network and the particle swarm optimization

ANNALS OF NUCLEAR ENERGY , vol.69, pp.260-266, 2014 (SCI-Expanded, Scopus)

16. A context layered locally recurrent neural network for dynamic system identification

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.26, no.1, pp.241-250, 2013 (SCI-Expanded, Scopus)

17. Identification of linear dynamic systems using the artificial bee colony algorithm

Erçin O., ÇOBAN R.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES , vol.20, pp.1175-1188, 2012 (SCI-Expanded, Scopus, TRDizin)

18. Multi objective bees algorithm to optimal tuning of PID controller

ÇOBAN R., erçin ö.

Çukurova University Journal of the Faculty of Engineering and Architecture , vol.27, no.2, pp.13-26, 2012 (Peer-Reviewed Journal)

19. A fuzzy controller design for nuclear research reactors using the particle swarm optimization algorithm

NUCLEAR ENGINEERING AND DESIGN , vol.241, no.5, pp.1899-1908, 2011 (SCI-Expanded, Scopus)

20. Computational intelligence-based trajectory scheduling for control of nuclear research reactors

PROGRESS IN NUCLEAR ENERGY , vol.52, no.4, pp.415-424, 2010 (SCI-Expanded, Scopus)

21. A trajectory tracking genetic fuzzy logic controller for nuclear research reactors

ÇOBAN R., Can B.

ENERGY CONVERSION AND MANAGEMENT , vol.51, no.3, pp.587-593, 2010 (SCI-Expanded, Scopus)

22. An expert trajectory design for control of nuclear research reactors

ÇOBAN R., Can B.

EXPERT SYSTEMS WITH APPLICATIONS , vol.36, no.9, pp.11502-11508, 2009 (SCI-Expanded, Scopus)

23. Optimal trajectory planning for control of nuclear research reactors using genetic algorithms and artificial neural networks

UÇAN O. N., BİLGİLİ E., ÇOBAN R.

Istanbul University Engineering Faculty Journal of Electrical &Electronics , vol.9, no.2, pp.1115-1128, 2009 (Peer-Reviewed Journal)

24. Identification and control of ITU Triga Mark-II Nuclear Research Reactor using neural networks and fuzzy logic

Coban R., Can B.

AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE , vol.3809, pp.1057-1062, 2005 (SCI-Expanded)

25. Extraction of facial features using genetic cellular neural networks

Istanbul University Engineering Faculty Journal of Electrical&Electronics , vol.2, no.2, pp.601-609, 2002 (Peer-Reviewed Journal)

Papers Presented at Peer-Reviewed Scientific Conferences 26

1. EEG Signal Classification Using Artificial Neural Network and Support Vector Machine in a Neuromarketing Study

ÖZBEYAZ A., ÇOBAN R., ASLAN R.

14th International Conference on Pattern Recognition and Information Processing (PRIP’2019), Minsk, Belarus, 21 - 23 May 2019, pp.31-34, (Full Text)

2. LMI-Based Sliding Mode Control Design and Experimental Application to an Electromechanical Plant

6th International Conference on Electrical and Electronics Engineering (ICEEE), İstanbul, Turkey, 16 - 17 April 2019, pp.69-72, (Full Text)

3. Second Order Sliding Mode Control of MIMO Nonlinear Coupled Tank System

14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), Lviv, Ukraine, 20 - 24 February 2018, pp.826-830, (Full Text)

4. Speed Control of DC motor using PID and SMC

AYDIN M. N., ALKAN S., ARSLAN E., ÇOBAN R.

ICAII4.0, 15 - 17 November 2017, (Summary Text)

5. Sliding Mode Control for a MIMO Nonlinear Coupled Tank System

AKSU İ. Ö., ÇOBAN R.

6th International Conference on Advanced Technology Sciences (ICAT’ RIGA), Riga, Latvia, 12 - 15 September 2017, (Full Text)

6. Dynamic Integral Sliding Mode Control of an Electromechanical System

SINEKLI E. S., ÇOBAN R.

International Conference on Mechanical, System and Control Engineering (ICMSC), St Petersburg, Russia, 19 - 21 May 2017, pp.160-164, (Full Text)

7. Second-Order Sliding Mode Control Design and Experimental Application to a Servo Motor

International Conference on Mechanical, System and Control Engineering (ICMSC), St Petersburg, Russia, 19 - 21 May 2017, pp.141-144, (Full Text)

8. Adaptive Backstepping Control Design for Electromechanical Systems

1st IEEE Ukraine Conference on Electrical and Computer Engineering (UKRCON), Kyiv, Ukraine, 29 May - 02 June 2017, pp.268-271, (Full Text)

9. Decoupled Sliding Mode Control of An Inverted Pendulum on A Cart: An Experimental Study

ÇOBAN R., ATA B.

IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Munich, Germany, 3 - 07 July 2017, pp.993-997, (Full Text)

10. Prediction of an Electromechanical System Parameters using the Particle Swarm Optimization Algorithm

20th Jubilee IEEE International Conference on Intelligent Engineering Systems (INES), Budapest, Hungary, 30 June - 02 July 2016, pp.85-88, (Full Text)

11. Sliding Mode Control Design and Experimental Application to an Electromechanical Plant

57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, Latvia, 13 - 14 October 2016, (Full Text)

12. Identification of An Inverted Pendulum using the Multifeedback-Layer Neural Network and the Particle Swarm Optimization Algorithm

ÇOBAN R., ATA B.

III. International Electrical & Electronic Engineering and Technologies Conference (Electrotech '15), İstanbul, Turkey, 2 - 03 October 2015, pp.104-110, (Full Text)

13. Çok Katmanlı Geri Beslemeli Yapay Sinir Ağı MFLNN ve Parçacık Sürü Optimizasyon Algoritması PSO Kullanarak Bir DC Motor Tanılaması

AKSU İ. Ö., ÇOBAN R.

8. Elektrik – Elektronik – Bilgisayar ve Biyomedikal Mühendisliği Sempozyumu, (ELECO 2014), Turkey, 27 - 29 November 2014, pp.758-761, (Full Text)

14. Artificial Bee Colony Algorithm Based Linear Quadratic Optimal Controller Design for a Nonlinear Inverted Pendulum

International Conference on Advanced Technology &Sciences (ICAT'14), 12 - 15 August 2014, pp.47-52, (Full Text)

15. Comparison of the Artificial Bee Colony and the Bees Algorithm for PID Controller Tuning

erçin ö., ÇOBAN R.

International Symposium on innovations in intelligent systems and applications (INISTA 2011), 15 June 2011 - 18 June 2014, pp.595-598, (Full Text)

16. Linear Quadratic Optimal Control of an Inverted Pendulum Using the Artificial Bee Colony Algorithm

IEEE 19th International Conference on Automation, Quality and Testing, Robotics (THETA), Cluj-Napoca, Romania, 22 - 24 May 2014, (Full Text)

17. TRAINING THE MULTIFEEDBACK-LAYER NEURAL NETWORK USING THE PARTICLE SWARM OPTIMIZATION ALGORITHM

10th International Conference on Electronics, Computer and Computation (ICECCO), Ankara, Turkey, 7 - 09 November 2013, pp.172-175, (Full Text)

18. Identification of Disk Drive Systems using the Multifeedback-Layer Neural Network and the Particle Swarm Optimization Algorithm