An IMC based fuzzy self-tuning mechanism for fuzzy PID controllers. - Akin Ilker Savran; Aykut Beke; Tufan Kumbasar; Engin Yesil (INISTA, 2015)

Gradient Descent and Extended Kalman Filter based self-tuning Interval Type-2 Fuzzy PID controllers. - Ahmet Sakalli; Aykut Beke; Tufan Kumbasar (FUZZ-IEEE, 2016)

Game of spheros: A real-world pursuit-evasion game with type-2 fuzzy logic. - Aykut Beke; Tufan Kumbasar (FUZZ-IEEE, 2017)

Single Vs. Double Input Interval Type-2 Fuzzy PID Controllers: Which One is Better? - Aykut Beke; Tufan Kumbasar (FUZZ-IEEE, 2018)

Analyzing the Control Surfaces of Type-1 and Interval Type-2 FLCs through an Experimental Study. - Ahmet Sakalli; Aykut Beke; Tufan Kumbasar (FUZZ-IEEE, 2018)

Design and Deployment of Fuzzy PID Controllers to the nano quadcopter Crazyflie 2.0. - Fethi Candan; Aykut Beke; Tufan Kumbasar (INISTA, 2018)

Interval Type-2 Fuzzy Systems as Deep Neural Network Activation Functions. - Aykut Beke; Tufan Kumbasar (EUSFLAT Conf., 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)

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)

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)

Capturing Uncertainty with Interval Fuzzy Logic Systems through Composite Deep Learning. - Aykut Beke; Tufan Kumbasar (FUZZ-IEEE, 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)

An Interacting Multiple Model Correntropy Kalman Filter Approach for Unmanned Aerial Vehicle Localisation. - Fethi Candan; Aykut Beke; Chen Shen; Lyudmila Mihaylova (INISTA, 2022)

Deep learning frameworks to learn prediction and simulation focused control system models. - Turcan Tuna; Aykut Beke; Tufan Kumbasar (Appl. Intell., 2022)

Correction to: Deep learning frameworks to learn prediction and simulation focused control system models. - Turcan Tuna; Aykut Beke; Tufan Kumbasar (Appl. Intell., 2022)

Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy Systems. - Batuhan Avci; Aykut Beke; Tufan Kumbasar (FUZZ, 2023)

An Interacting Multiple Model Approach Based on Maximum Correntropy Student's T Filter. - Fethi Candan; Aykut Beke; Lyudmila Mihaylova (IROS, 2023)

More Than Accuracy: A Composite Learning Framework for Interval Type-2 Fuzzy Logic Systems. - Aykut Beke; Tufan Kumbasar (IEEE Trans. Fuzzy Syst., 2023)

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., 2024)