Tufan Kumbasar
Tufan Kumbasar
Professor@Istanbul Technical University, Control and Automation Engineering Department
Verified email at - Homepage
Cited by
Cited by
Parameter optimization of interval Type-2 fuzzy neural networks based on PSO and BBBC methods
J Wang, T Kumbasar
IEEE/CAA Journal of Automatica Sinica 6 (1), 247-257, 2019
An Open Source Matlab/Simulink Toolbox for Interval Type-2 Fuzzy Logic Systems
A Taskin, T Kumbasar
IEEE Symposium Series on Computational Intelligence – SSCI 2015, Cape Town …, 2015
Big Bang–Big Crunch optimization based interval type-2 fuzzy PID cascade controller design strategy
T Kumbasar, H Hagras
Information Sciences 282, 277-295, 2014
Robust Stability Analysis and Systematic Design of Single Input Interval Type-2 Fuzzy Logic Controllers
T Kumbasar
IEEE Transactions on Fuzzy Systems, 2016
Type-2 fuzzy logic controllers made even simpler: From design to deployment for UAVs
A Sarabakha, C Fu, E Kayacan, T Kumbasar
IEEE Transactions on Industrial Electronics 65 (6), 5069-5077, 2017
A Self-Tuning zSlices based General Type-2 Fuzzy PI Controller
T Kumbasar, H Hagras
IEEE Transactions on Fuzzy Systems, 2015
Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration
O Karasakal, M Guzelkaya, I Eksin, E Yesil, T Kumbasar
Engineering Applications of Artificial Intelligence 26 (1), 184-197, 2013
Current development on using Rotary Inverted Pendulum as a benchmark for testing linear and nonlinear control algorithms
MF Hamza, HJ Yap, IA Choudhury, AI Isa, AY Zimit, T Kumbasar
Mechanical Systems and Signal Processing 116, 347-369, 2019
Type-2 fuzzy model based controller design for neutralization processes
T Kumbasar, I Eksin, M Guzelkaya, E Yesil
ISA transactions, 2011
A simple design method for interval type-2 fuzzy PID controllers
T Kumbasar
Soft Computing 18, 1293-1304, 2014
Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm
T Kumbasar, I Eksin, M Guzelkaya, E Yesil
Expert Systems with Applications, 2011
Analysis of the performances of type-1, self-tuning type-1 and interval type-2 fuzzy PID controllers on the magnetic levitation system
A Sakalli, T Kumbasar, E Yesil, H Hagras
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1859-1866, 2014
A new fractional-order general type-2 fuzzy predictive control system and its application for glucose level regulation
A Mohammadzadeh, T Kumbasar
Applied Soft Computing 91, 106241, 2020
Interval type-2 fuzzy inverse controller design in nonlinear IMC structure
T Kumbasar, I Eksin, M Guzelkaya, E Yesil
Engineering Applications of Artificial Intelligence 24 (6), 996-1005, 2011
Inverse fuzzy model control with online adaptation via Big Bang-Big Crunch optimization
T Kumbasar, E Yesil, I Eksin, M Guzelkaya
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd …, 2008
Towards systematic design of general type-2 fuzzy logic controllers: analysis, interpretation, and tuning
A Sakalli, T Kumbasar, JM Mendel
IEEE Transactions on Fuzzy Systems 29 (2), 226-239, 2020
Learning with type-2 fuzzy activation functions to improve the performance of deep neural networks
A Beke, T Kumbasar
Engineering Applications of Artificial Intelligence 85, 372-384, 2019
Big Bang Big Crunch Optimization Method Based Fuzzy Model Inversion
T Kumbasar, İ Eksin, M Güzelkaya, E Yeşil
MICAI 2008: Advances in Artificial Intelligence, 732-740, 2008
A survey on advancement of hybrid type 2 fuzzy sliding mode control
MF Hamza, HJ Yap, IA Choudhury, H Chiroma, T Kumbasar
Neural Computing and Applications, 1-23, 2017
Altitude and position control of parrot mambo minidrone with PID and fuzzy PID controllers
MR Kaplan, A Eraslan, A Beke, T Kumbasar
2019 11th International Conference on Electrical and Electronics Engineering …, 2019
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