Aykut Beke

According to our database, Aykut Beke authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Real-time Fuzzy Interacting Multiple-Model Velocity Obstacle Avoidance Approach for Unmanned Aerial Vehicles.

Fethi Candan, Aykut Beke, Mahdi Mahfouf, Lyudmila Mihaylova

J. Intell. Robotic Syst., June, 2024

2023

More Than Accuracy: A Composite Learning Framework for Interval Type-2 Fuzzy Logic Systems.

Aykut Beke, Tufan Kumbasar

IEEE Trans. Fuzzy Syst., March, 2023

An Interacting Multiple Model Approach Based on Maximum Correntropy Student's T Filter.

Fethi Candan, Aykut Beke, Lyudmila Mihaylova

IROS, 2023

Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy Systems.

Batuhan Avci, Aykut Beke, Tufan Kumbasar

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Correction to: Deep learning frameworks to learn prediction and simulation focused control system models.

Turcan Tuna, Aykut Beke, Tufan Kumbasar

Appl. Intell., 2022

Deep learning frameworks to learn prediction and simulation focused control system models.

Turcan Tuna, Aykut Beke, Tufan Kumbasar

Appl. Intell., 2022

An Interacting Multiple Model Correntropy Kalman Filter Approach for Unmanned Aerial Vehicle Localisation.

Fethi Candan, Aykut Beke, Chen Shen, Lyudmila Mihaylova

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

2021

A fuzzy logic-based autonomous car control system for the JavaScript Racer game.

Ugur Bugra Etlik, Berk Korkmaz, Aykut Beke, Tufan Kumbasar

Trans. Inst. Meas. Control, 2021

Capturing Uncertainty with Interval Fuzzy Logic Systems through Composite Deep Learning.

Aykut Beke, Tufan Kumbasar

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Type-2 Fuzzy Logic-Based Linguistic Pursuing Strategy Design and Its Deployment to a Real-World Pursuit Evasion Game.

Aykut Beke, Tufan Kumbasar

IEEE Trans. Cybern., 2020

A Deep Learning-Based Pipeline for Teaching Control Theory: Transforming Feedback Control Systems on Whiteboard Into MATLAB.

Dorukhan Erdem, Aykut Beke, Tufan Kumbasar

IEEE Access, 2020

2019

Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks.

Aykut Beke, Tufan Kumbasar

Eng. Appl. Artif. Intell., 2019

Interval Type-2 Fuzzy Systems as Deep Neural Network Activation Functions.

Aykut Beke, Tufan Kumbasar

Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

2018

Design and Deployment of Fuzzy PID Controllers to the nano quadcopter Crazyflie 2.0.

Fethi Candan, Aykut Beke, Tufan Kumbasar

Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Analyzing the Control Surfaces of Type-1 and Interval Type-2 FLCs through an Experimental Study.

Ahmet Sakalli, Aykut Beke, Tufan Kumbasar

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Single Vs. Double Input Interval Type-2 Fuzzy PID Controllers: Which One is Better?

Aykut Beke, Tufan Kumbasar

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Game of spheros: A real-world pursuit-evasion game with type-2 fuzzy logic.

Aykut Beke, Tufan Kumbasar

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Gradient Descent and Extended Kalman Filter based self-tuning Interval Type-2 Fuzzy PID controllers.

Ahmet Sakalli, Aykut Beke, Tufan Kumbasar

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

An IMC based fuzzy self-tuning mechanism for fuzzy PID controllers.

Akin Ilker Savran, Aykut Beke, Tufan Kumbasar, Engin Yesil

Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015