Fethi Candan

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Tufan KumbasarProfessor@Istanbul Technical University, Control and Automation Engineering DepartmentVerified email at itu.edu.tr
Aykut BekePh.D.@Istanbul Technical University, Control and Automation Engineering DepartmentVerified email at itu.edu.tr
Lyudmila MihaylovaProfessor of Signal Processing and Control, University of Sheffield, UKVerified email at sheffield.ac.uk
Evangelos PournarasUKRI Future Leaders Fellow, Professor of Trustworthy Distributed Intelligence, University of LeedsVerified email at leeds.ac.uk
Chuhao QinSchool of Computing, University of LeedsVerified email at leeds.ac.uk
Mahdi MahfoufProfessor of Intelligent Systems, The University of SheffieldVerified email at sheffield.ac.uk
Salih Ertug OvurImperial College LondonVerified email at imperial.ac.uk
Mustafa Dogan(Full) Professor of Electrical-Electronics Engineering, ISTANBUL TECHNICAL UNIVERSITY FacultyVerified email at itu.edu.tr
Seren EmirVerified email at ogrenci.bilecik.edu.tr

Fethi Candan

Postdoctoral Fellow, University of Idaho

Verified email at uidaho.edu

Intelligent Systems Control Systems Embedded Systems Swarm UAVs


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Design and Deployment of Fuzzy PID Controllers to the nano quadcopter Crazyflie 2.0 F Candan, A Beke, T Kumbasar 2018 Innovations in Intelligent Systems and Applications (INISTA), 1-6, 2018	26	2018
3, 2, 1, Drones go! A testbed to take off UAV swarm intelligence for distributed sensing C Qin, F Candan, LS Mihaylova, E Pournaras arXiv preprint arXiv:2208.05914, 2022	9	2022
A comparison of obstacle dependant Gaussian and hybrid potential field methods for collision avoidance in multi-agent systems F Candan, Y Peng, L Mihaylova Manchester Journal of Artificial Intelligence & Applied Science (MJAIAS) 2 (1), 2021	4	2021
YAFT: A Fuzzy Logic based Real Time Two-Wheeled Inverted Pendulum Robot SE Ovur, F Candan, A Beke, T Kumbasar 6th International Conference on Control Engineering & Information Technology …, 2018	4	2018
Takviyeli Q-Öğrenme Yöntemiyle Labirent Problemi Çözümü Labyrinth Problem Solution with Reinforcement Q-Learning Method F Candan, S Emir, M Doğan, T Kumbasar Turkish National Meeting on Automatic Control – TOK 2018, 2018	3	2018
Real-time interval type-2 fuzzy control of an unmanned aerial vehicle with flexible cable-connected payload F Candan, OF Dik, T Kumbasar, M Mahfouf, L Mihaylova Algorithms 16 (6), 273, 2023	2	2023
An Interacting Multiple Model Correntropy Kalman Filter Approach for Unmanned Aerial Vehicle Localisation F Candan, A Beke, C Shen, L Mihaylova 2022 International Conference on INnovations in Intelligent SysTems and …, 2022	2*	2022
A Real-time Fuzzy Interacting Multiple-Model Velocity Obstacle Avoidance Approach for Unmanned Aerial Vehicles F Candan, A Beke, M Mahfouf, L Mihaylova Journal of Intelligent & Robotic Systems 110 (2), 61, 2024		2024
An Interacting Multiple Model Approach Based on Maximum Correntropy Student's T Filter F Candan, A Beke, L Mihaylova 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023		2023
Improving Workplace Safety in the Cargo Industry through Posture Monitoring using Mediapipe and Machine Learning BS Cobb, F Candan 2023 International Conference on Innovations in Intelligent Systems and …, 2023		2023
Methods for Control and State Estimation of Unmanned Aerial Vehicles F Candan University of Sheffield, 2023		2023

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