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 | 160 | 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 | 141 | 2015 |
Robust Stability Analysis and Systematic Design of Single Input Interval Type-2 Fuzzy Logic Controllers T Kumbasar IEEE Transactions on Fuzzy Systems, 2016 | 116 | 2016 |
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 | 115 | 2014 |
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 | 114 | 2017 |
A Self-Tuning zSlices based General Type-2 Fuzzy PI Controller T Kumbasar, H Hagras IEEE Transactions on Fuzzy Systems, 2015 | 108 | 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 | 98 | 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 | 86 | 2019 |
Type-2 fuzzy model based controller design for neutralization processes T Kumbasar, I Eksin, M Guzelkaya, E Yesil ISA transactions, 2011 | 86 | 2011 |
A simple design method for interval type-2 fuzzy PID controllers T Kumbasar Soft Computing 18, 1293-1304, 2014 | 85 | 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 | 80 | 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 | 69 | 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 | 67 | 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 | 65 | 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 | 60 | 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 | 55 | 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 | 44 | 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 | 43 | 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 | 38 | 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 | 36 | 2019 |