Book Chapters:

1.     A. Sahin, T. Kumbasar, 2018. Type-2 Fuzzy Logic Control in Computer Games. In: John R., Hagras H., Castillo O. (eds) Type-2 Fuzzy Logic and Systems. Studies in Fuzziness and Soft Computing, vol 362. Springer, Cham.

2.     T. Kumbasar, H. Hagras, 2015. Interval Type-2 Fuzzy PID Controllers, in the book entitled Springer Handbook of Computational Intelligence, Eds. J. Kacprzyk and W. Pedrycz, Springer Verlag.

 

Book Reviews:

1.     T. Kumbasar, 2017. Book Review: "Introduction to Type-2 Fuzzy Logic Control: Theory and Applications", Jerry Mendel, Hani Hagras, Woei-Wan Tan, William W. Melek and Hao Ying, Wiley-IEEE Press, 2014, ISBN-13: 978-111827839, Fuzzy Sets and Systems, 306C, 169-170.

 

International Journal Papers:

1.     A. Amirkhani, M. Shirzadeh, T. Kumbasar, B. Mashadi “A Framework for Designing Cognitive Trajectory Controllers using Genetically Evolved Interval Type-2 Fuzzy Cognitive Maps” Intelligent Systems (Article in Press)

2.     T. Tuna, A. Beke, T. Kumbasar, 2021. “A Deep Learning Framework to Learn Prediction and Simulation Focused Control System Models” Applied Intelligence (Article in Press).

3.     A. Sakallı, T. Kumbasar, J. M. Mendel, 2021. Towards Systematic Design of General Type-2 Fuzzy Logic Controllers: Analysis, Interpretation and Tuning, IEEE Transactions on Fuzzy Systems, 29 (2), 226-239.

4.     U. B. Etlik, B. Korkmaz, A. Beke, T. Kumbasar, 2021. A Fuzzy Logic based Autonomous Car Control System for the JavaScript Racer Game, Transactions of the Institute of Measurement and Control, 43 (5), 1028-1038.

5.     A. Amirkhani, M. Shirzadeh, T. Kumbasar, 2020. Interval Type-2 Fuzzy Cognitive Map based Flight Control System for Quadcopters, International Journal of Fuzzy Systems 22, 2504–2520.

6.     D. Erdem, A. Beke, T. Kumbasar, 2020. "A Deep Learning based Pipeline for Teaching Control Theory: Transforming Feedback Control Systems on Whiteboard into Matlab®, IEEE Access, 8 (1), 84631-84641.

7.     A. Beke, T. Kumbasar, 2020. Type-2 Fuzzy Logic based Linguistic Pursuing Strategy Design and its Deployment to a Real-World Pursuit Evasion Game, IEEE Transactions on Cybernetics, 50 (1), 211-221.

8.     T. Tuna, E. Ovur, E. Gokbel, T. Kumbasar, 2020. FOLLY: Design and Development of FOLLY: A Self-Foldable and Self-Deployable Quadcopter, Aerospace Science and Technology, 100, 105807.

9.     A. Mohammadzadeh, T. Kumbasar, 2020. A New Fractional-Order General Type-2 Fuzzy Predictive Control System and its Application for Glucose Level Regulation, Applied Soft Computing, 91, 106241.

10.  M. M. Zirkohi, T. Kumbasar, 2020. Adaptive backstepping controller design for MIMO Cancer Immunotherapy using Laguerre polynomials, Journal of the Franklin Institute, 357 (8), 4664-4679.

11.  J. Wang, T. Kumbasar, 2020. Optimal PID Control of Spatial Inverted Pendulum with Big Bang-Big Crunch Optimization, IEEE/CAA Journal of Automatica Sinica,. 7, (3), 822-832.

12.  A. Beke, T. Kumbasar, 2019. Learning with Type-2 Fuzzy Activation Functions to Improve the Performance of Deep Neural Networks, Engineering Applications of Artificial Intelligence, 85, 372-384.

13.  M. F. Hamza, H. J. Yap, A.I. Choudhury, I.A. Isa, A.Y. Zimit, T. Kumbasar, 2019. Current development on using Rotary Inverted Pendulum as a benchmark for testing linear and nonlinear control algorithms, Mechanical Systems and Signal Processing, 116, 347-369.

14.  J. Wang, T. Kumbasar, 2019. Parameter Optimization of Interval Type-2 Fuzzy Neural Networks Based on PSO and BBBC Method, IEEE/CAA Journal of Automatica Sinica, 6 (1).

15.  A. Sarabakha, C. Fu, E Kayacan, T. Kumbasar, 2018. Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment for UAVs, IEEE Transactions on Industrial Electronics, 65 (6), 5069-5077.

16.  J. Wang, T. Kumbasar, 2018. Big Bang-Big Crunch optimized hierarchical sliding-mode control of X-Z inverted pendulum, Simulation Modelling Practice and Theory, 86, 25-35.

17.  M. F. Hamza, H. J. Yap, I. A Choudhury, H Chiroma, T. Kumbasar, 2018. A Survey on advancement of hybrid Type-2 Fuzzy Sliding Mode Control, Neural Computing and Applications, 30 (2), 331–353.

18.  T. Kumbasar, 2017. Revisiting Karnik-Mendel Algorithms in the Framework of Linear Fractional Programming, International Journal of Approximate Reasoning, 82, 1–21.

19.  M. M. Zirkohi, T. Kumbasar, T. C. Lin, 2017. Hybrid Adaptive Type-2 Fuzzy Tracking Control of Chaotic Oscillation Damping of Power Systems, Asian Journal of Control, 19 (3), 1–12.

20.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2017. An Inverse Controller Design Method for Interval Type-2 Fuzzy Models, Soft Computing, Soft Computing 21, 2665–2686.

21.  T. Kumbasar, 2016. Robust Stability Analysis and Systematic Design of Single Input Interval Type-2 Fuzzy Logic Controllers, IEEE Transactions on Fuzzy Systems, 24 (3), 675-694.

22.  T. Kumbasar, H. Hagras, 2015. A Self-Tuning zSlices based General Type-2 Fuzzy PI Controller, IEEE Transactions on Fuzzy Systems, 23 (4), 991-1013.

23.  M. Aliasghary, I. Eksin, M. Guzelkaya, T. Kumbasar, 2015. General Derivation and Analysis for Input-Output Relations in Interval Type-2 Fuzzy Logic Systems, Soft Computing, 19 (5), 1283-1293.

24.  T. Kumbasar, H. Hagras, 2014. Big Bang-Big Crunch Optimization Based Interval Type-2 Fuzzy PID Cascade Controller Design Strategy, Information Sciences, 282, 277–295.

25.  T. Kumbasar, 2014. A Simple Design Method for Interval Type-2 Fuzzy PID Controllers, Soft Computing, 18 (7), 1293-1304.

26.  M. Aliasghary, I. Eksin, M. Guzelkaya, T. Kumbasar, 2013. A Design Methodology and Analysis for Interval Type-2 Fuzzy PI/PD Controllers, International Journal of Innovative Computing Information and Control, 9 (10), 4215–4230.

27.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2013. Exact Inversion of Decomposable Interval Type-2 Fuzzy Logic Systems, International Journal of Approximate Reasoning, 54 (2), 253-272.

28.  O. Karasakal, M. Guzelkaya, I. Eksin, E. Yesil, T. Kumbasar, 2013. Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration. Engineering Applications of Artificial Intelligence, 26 (1), 184–197.

29.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2012. Type-2 Fuzzy Model Based Controller Design for Neutralization Processes, ISA Transactions, 51 (2), 277 – 287.

30.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2011. Interval Type-2 Fuzzy Inverse Controller Design in Nonlinear IMC Structure, Engineering Applications of Artificial Intelligence, 24 (6), 996 – 1005.

31.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2011. Adaptive Fuzzy Model Based Inverse Controller Design Using BB-BC Optimization Algorithm, Expert Systems with Applications, 38 (10), 12356-12364.

32.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2008. Big Bang Big Crunch Optimization Method Based Fuzzy Model Inversion, MICAI 2008: Advances in Artificial Intelligence - Lecture Notes in Computer Science, 5317, 732-740.

 

National Journal Papers (in Turkish):

1.     E. Armagan, T. Kumbasar, 2018. TORCS Oyun Ortamında Bulanık Mantık tabanlı Akıllı bir Otonom Araç Kontrol Sistemi Tasarımı - A Fuzzy Logic based Intelligent Autonomous Vehicle Control System Design in the TORCS Game Environment, Pamukkale University-Journal of Engineering Sciences, (Article in Press).

2.     T. Kumbasar, 2016. Aralık değerli Tip-2 Bulanık PID kontrolörler ve bir çevrimiçi öz-ayarlama mekanizması - Interval Type-2 Fuzzy PID controllers and an online self-tuning mechanism, Pamukkale University-Journal of Engineering Sciences, 22(8): 643-649.

Luck is what happens when preparation meets opportunity.

International Conference Papers:

1.     A. Beke, T. Kumbasar, 2021. Capturing Uncertainty with Interval Fuzzy Logic Systems through Composite Deep Learning, IEEE International Conference on Fuzzy Systems – FUZZ 2021, Luxemburg.

2.     K. Bölat, T. Kumbasar, 2021. Integrating Interval Type-2 Fuzzy Sets into Deep Embedding Clustering to Cope with Uncertainty, IEEE International Conference on Fuzzy Systems – FUZZ 2021, Luxemburg.

3.     D. Erdem, T. Kumbasar, 2021. Enhancing the Learning of Interval Type-2 Fuzzy Classifiers with Knowledge Distillation, IEEE International Conference on Fuzzy Systems – FUZZ 2021, Luxemburg.

4.     İ. Şahin, T. Kumbasar, 2020. Catch me if you can: A pursuit-evasion game with intelligent agents in the Unity 3D game environment, International Conference on Electrical Engineering, İstanbul, Turkey.

5.     A. Sakallı, T. Kumbasar, J. M. Mendel, 2020. A Design Approach for General Type-2 Fuzzy Logic Controllers with an Online Scheduling Mechanism, IEEE World Congress on Computational Intelligence–WCCI 2020, Glasgow, UK.

6.     K. Bölat, T. Kumbasar, 2020. Interpreting Variational Autoencoders with Fuzzy Logic: A step towards interpretable deep learning based fuzzy classifiers, IEEE World Congress on Computational Intelligence–WCCI 2020, Glasgow, UK.

7.     M. U. Yavas, T. Kumbasar, N. K. Üre, 2020. A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward, IEEE Intelligent Vehicles Symposium-IV 2020, Las Vegas, NV, USA.

8.     M. Mandacı, T. Kumbasar, 2020. Real-Time Leader-Follower Formation Control of Nano Quadcopters in the Framework of Ratio Control, European Control Conference, Saint Petersburg, Russia.

9.     E. Armağan, T. Kumbasar, 2020. An Intelligent Overtaking Assistant System for Autonomous Vehicles, International Conference on Intelligent and Fuzzy Systems, İzmir, Turkey.

10.  Y. Çetin, I. E. Akyol, K. Ç. Büyüköztürk, T. Kumbasar, 2020. Parameter Identification and Auto-Tuning of IPMSM for Self-Commissioning, International Conference on Electrical and Electronics Engineering, Antalya, Turkey.

11.  A. E. Tüfekçi, T. Kumbasar, 2019. Human Operator Modelling with Interval-valued Takagi-Sugeno Fuzzy Models, International Conference on Electrical and Electronics Engineering– ELECO 2019, Bursa, Turkey.

12.  M. R. Kaplan, A. Eraslan, A. Beke, T. Kumbasar, 2019. Altitude and Position Control of Parrot Mambo Minidrone with PID and Fuzzy PID Controllers, International Conference on Electrical and Electronics Engineering– ELECO 2019, Bursa, Turkey.

13.  A. Banerjee, M. Nabi, T. Kumbasar, 2019. Big Bang Big Crunch based Near-Optimal Guidance Law for Interceptor Problem, International Conference on Electrical and Electronics Engineering– ELECO 2019, Bursa, Turkey.

14.  Y. Çetin, I. E. Akyol, K. Ç. Büyüköztürk, T. Kumbasar, 2019. Self-Commissioning of Electrical Parameters for Sensorless IPMSM Drives, International Conference on Electrical and Electronics Engineering– ELECO 2019, Bursa, Turkey.

15.  A. Beke, T. Kumbasar, 2019. Interval Type-2 Fuzzy Systems as Deep Neural Network Activation Functions, 11th Conference of the European Society for Fuzzy Logic and Technology – EUSFLAT 2019, Prague, Czech Republic.

16.   T. Kumbasar, 2019. A New Insight on the Mappings of Type-2 Fuzzy Logic Systems, IEEE International Conference on Fuzzy Systems – FUZZ 2019, New Orleans, USA.

17.  E. Ovur, F. Candan, A. Beke, T. Kumbasar, 2018. YAFT: A Fuzzy Logic based Real Time Two-Wheeled Inverted Pendulum Robot, 6th International Conference on Control Engineering & Information Technology, Istanbul, Turkey.

18.  B. Korkmaz, U. B. Etlik, A. Beke, T. Kumbasar, 2018. Fuzzy Logic Based Self-Driving Racing Car Control System, 6th International Conference on Control Engineering & Information Technology, Istanbul, Turkey.

19.  T. Tuna, E. Ovur, E. Gokbel, T. Kumbasar, 2018. FOLLY: A Self Foldable and Self Deployable Autonomous Quadcopter, 6th International Conference on Control Engineering & Information Technology, Istanbul, Turkey (Best Paper Award).

20.  A. I. Savran, T. Kumbasar, 2018. A Vision Based Positioning Gas Leakage Test Automation System, 6th International Conference on Control Engineering & Information Technology, Istanbul, Turkey.

21.  E. Kaya, T. Kumbasar, 2018. Hand Gesture Recognition Systems with the Wearable Myo Armband, 6th International Conference on Control Engineering & Information Technology, Istanbul, Turkey.

22.  F. Candan, A. Beke, T. Kumbasar, 2018. Design and Deployment of Fuzzy PID Controllers to the nano quadcopter Crazyflie 2.0, IEEE International Conference on Innovations in Intelligent Systems and Applications, Thessaloniki, Greece.

23.  A. Beke, T. Kumbasar, 2018. Single Vs. Double Input Interval Type-2 Fuzzy PID Controllers: Which One is Better?, IEEE International Conference on Fuzzy Systems – FUZZ 2018, Rio de Janeiro, Brazil.

24.  A. Sakalli, A. Beke, T. Kumbasar, 2018. Analyzing the Control Surfaces of Type-1 and Interval Type-2 FLCs through an Experimental Study, IEEE International Conference on Fuzzy Systems – FUZZ 2018, Rio de Janeiro, Brazil.

25.  N. K. Dizaji, T. Kumbasar, 2017. Diagnosing Interdental Decays in Mouth Radiography Images using Kernel Fuzzy C means Segmentation and Cascade Object Detector, International Conference on Electrical and Electronics Engineering– ELECO 2017, Bursa, Turkey.

26.  E. Armagan, T. Kumbasar, 2017. A Fuzzy Logic Based Autonomous Vehicle Control System Design in the TORCS Environment, International Conference on Electrical and Electronics Engineering– ELECO 2017, Bursa, Turkey.

27.  V. Milewski, A. Bilgin, T. Kumbasar, 2017. A Fuzzy Logic Approach to Improve Phone Segmentation: A Case Study on the Dutch Language, 9th International Joint Conference on Computational Intelligence– IJCCI 2017, Funchal-Madeira, Portugal.

28.  A. Yuceler, A. Beke, T. Kumbasar, 2017. A Rule based Fuzzy Gesture Recognition System to Interact with Sphero 2.0 using a Smart Phone, International Artificial Intelligence and Data Processing Symposium – IDAP 2017, Malatya, Turkey.

29.  S. Türkeli, M.S. Oguz, S. B. Abay, T. Kumbasar, H. T. Atay, K. K. Kurt, 2017. A Smart Dermoscope Design Using Artificial Neural Network, International Artificial Intelligence and Data Processing Symposium – IDAP 2017, Malatya, Turkey.

30.  A. Beke, T. Kumbasar, 2017. Game of Spheros: A Real-World Pursuit-Evasion Game with Type-2 Fuzzy Logic, IEEE International Conference on Fuzzy Systems – FUZZ 2017, Naples, Italy.

31.  A. Sahin, T. Kumbasar, 2017. Landing on the Moon with Type-2 Fuzzy Logic, IEEE International Conference on Fuzzy Systems – FUZZ 2017, Naples, Italy.

32.  A. Sakalli, T. Kumbasar, 2017. On the Design and Gain Analysis of IT2-FLC with a Case Study on an Electric Vehicle, IEEE International Conference on Fuzzy Systems – FUZZ 2017, Naples, Italy.

33.  A. Sahin, E. Atici, T. Kumbasar, 2016. Type-2 Fuzzified Flappy Bird Control System, IEEE World Congress on Computational Intelligence–WCCI 2014, Vancouver, Canada.

34.  A. Sakalli, A. Beke, T. Kumbasar, 2016. Gradient Descent and Extended Kalman Filter based Self-Tuning Interval Type-2 Fuzzy PID Controllers, IEEE World Congress on Computational Intelligence – WCCI 2016, Vancouver, Canada.

35.  M. Mehndiratta, E. Kayacan, T. Kumbasar, 2016. Design and Experimental Validation of Single Input Type-2 Fuzzy PID Controllers as Applied to 3 DOF Helicopter Testbed, IEEE World Congress on Computational Intelligence –WCCI 2016, Vancouver, Canada.

36.  A. Taskin, T. Kumbasar, 2015. An open source Matlab/Simulink Toolbox for Interval Type-2 Fuzzy Logic Systems, IEEE Symposium Series on Computational Intelligence – SSCI 2015, Cape Town, South Africa.

37.  T. Kumbasar, 2015. Revisiting KM Algorithms: A Linear Programming Approach, IEEE International Conference on Fuzzy Systems – FUZZ 2015, Istanbul, Turkey (Best Paper Award).

38.  T. Kumbasar, H. Hagras, 2015. A Gradient Descent Based Online Tuning Mechanism for PI Type Single Input Interval Type-2 Fuzzy Logic Controllers, IEEE International Conference on Fuzzy Systems – FUZZ 2015, Istanbul, Turkey.

39.  A. Sakalli, T. Kumbasar, 2015. On the Fundamental Differences between the NT and the KM Center of Sets Calculation Methods on the IT2-FLC Performance, IEEE International Conference on Fuzzy Systems – FUZZ 2015, Istanbul, Turkey.

40.  A. Var, T. Kumbasar, E. Yesil, 2015. An Internal Model Control Based Design Method for Single Input Fuzzy PID Controllers, IEEE International Conference on Fuzzy Systems – FUZZ 2015, Istanbul, Turkey.

41.  A. Sahin, T. Kumbasar, E. Yesil, O. Karasakal, S. Siradag, 2015. An Enhanced Fuzzy Linguistic Term Generation and Representation for Time Series Forecasting, IEEE International Conference on Fuzzy Systems – FUZZ 2015, Istanbul, Turkey.

42.  A. I. Savran, A. Beke, T. Kumbasar, E. Yesil, 2015. An IMC based Fuzzy Self-Tuning Mechanism for Fuzzy PID Controllers, IEEE International Symposium on Innovations in Intelligent Systems and Applications – INISTA 2015, Madrid, Spain.

43.  A. Sahin, M.F. Dodurka, T. Kumbasar, E. Yesil, S. Siradag, 2015. Review Study on Fuzzy Time Series and Their Applications in the Last Fifteen Years, 4th International Fuzzy Systems Symposium – FUZZYSS’15, Istanbul, Turkey.

44.  M. F. Dodurka, A. Sahin, T. Kumbasar, E. Yesil, S. Siradag, 2015. A Systematic Type-2 Fuzzy Modelling Methodology for Time Series Forecasting, 4th International Fuzzy Systems Symposium – FUZZYSS’15, Istanbul, Turkey.

45.  A. Sahin, T. Kumbasar, E. Yesil, O. Karasakal, 2014. An Approach to Represent Time Series Forecasting via Fuzzy Numbers, 2nd International Conference on Artificial Intelligence, Modelling and Simulation – AIMS2014, Madrid, Spain.

46.  M. K. Celik, E. Yesil, T. Kumbasar, 2014. Tuning Methods and Educational GUI Design for 1-DoF and 2-DoF PI(D) Controllers, 16th International Conference on Mechatronics – Mechatronika 2014, Brno, Czech Republic.

47.  T. Kumbasar, 2014. Robust Stability Analysis of PD Type Single Input Interval Type-2 Fuzzy Control Systems, IEEE World Congress on Computational Intelligence – WCCI 2014, Beijing, China.

48.  T. Kumbasar, C. Ozturk, E. Yesil, H. Hagras, 2014. Performance Evaluation of Interval Type-2 and Online Rule weighing based Type-1 Fuzzy PID Controllers on a pH Process, IEEE World Congress on Computational Intelligence – WCCI 2014, Beijing, China.

49.  M. F. Dodurka, T. Kumbasar, A. Sakalli, E. Yesil, 2014. Boundary Function based Karnik- Mendel Type Reduction Method for Interval Type-2 Fuzzy PID Controllers, IEEE World Congress on Computational Intelligence – WCCI 2014, Beijing, China.

50.  A. Sakalli, T. Kumbasar, M. F. Dodurka, E. Yesil, 2014. The Simplest Interval Type-2 Fuzzy PID Controller: Structural Analysis, IEEE World Congress on Computational Intelligence – WCCI 2014, Beijing, China.

51.  A. Sakalli, T. Kumbasar, E. Yesil, H. Hagras, 2014. Analysis of the Performances of Type-1, Self-Tuning Type-1 and Interval Type-2 Fuzzy PID Controllers on the Magnetic Levitation System, IEEE World Congress on Computational Intelligence – WCCI 2014, Beijing, China.

52.  E. Yesil, T. Kumbasar, M.F. Dodurka, A. Sakalli, 2014. Peak Observer based Self-tuning of Type-2 Fuzzy PID Controllers, International Conference on Artificial Intelligence Applications and Innovations – AIAI 2014, Rhodes, Greece.

53.  T. Kumbasar, H. Hagras, 2013. A Type-2 Fuzzy Cascade Control Architecture for Mobile Robots, IEEE International Conference on Systems, Man, and Cybernetic – SMC 2013, Manchester, England.

54.  T. Kumbasar, 2013. A One to Three Input Mapping IT2-FLC PID Design Strategy, IEEE International Conference on Fuzzy Systems – FUZZ-2013, Hyderabad, India.

55.  T. Kumbasar, H. Hagras, 2013. A Big Bang-Big Crunch Optimization Based Approach for Interval Type-2 Fuzzy PID Controller Design, IEEE International Conference on Fuzzy Systems – FUZZ 2013, Hyderabad, India.

56.  T. Kumbasar, E. Yesil, O. Karasakal, 2013. Self-tuning Interval Type-2 Fuzzy PID Controllers Based on Online Rule Weighting, IEEE International Conference on Fuzzy Systems – FUZZ 2013, Hyderabad, India.

57.  E. Yesil, A. Sakalli, C. Ozturk, T. Kumbasar, 2013. Online Fuzzy Rule Weighting Method for Fuzzy PID Controllers via Big Bang-Big Crunch Optimization, IEEE International Conference on Fuzzy Systems – FUZZ 2013, Hyderabad, India.

58.  M. Aliasghary, I. Eksin, M. Guzelkaya, T. Kumbasar, 2012. Design of an interval type-2 fuzzy logic controller based on conventional PI controller, 20th Mediterranean Conference on Control and Automation – MED 2012, Barcelona, Spain.

59.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2011. An Inversion Method for Interval Type-2 Fuzzy Logic Systems, 11th International Conference on Intelligent Systems Design and Applications – ISDA 2011, Cordoba, Spain.

60.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2011. Type-2 Fuzzy Model Inverse Controller Design Based on BB-BC Optimization Method, 18th World Congress of the International Federation of Automatic Control – IFAC 2011, Milano, Italy.

61.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2011. Adaptive Fuzzy Internal Model Control Design with Bias Term Compensator, IEEE International Conference on Mechatronics – ICM 2011, Istanbul, Turkey.

62.  S. Oblak, T. Kumbasar, I. Skrjanc, E. Yesil, 2010. Inverse-Model Predictive Control Based On INFUMO-BB-BC Optimization, 10th IFAC Workshop on Adaptation and Learning in Control and Signal Processing – ALCOSP 2010, Antalya, Turkey.

63.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2009. Control of a pH Neutralization Process via the Big Bang Big Crunch Optimization, 6th International Mediterranean Modelling Multi Conference – MAS 2009: The International Workshop on Modelling & Applied Simulation, Tenerife, Spain.

64.  C. Bulut, I. Eksin, M. Guzelkaya, T. Kumbasar, E. Yesil, 2009. Fuzzy Blending Hybrid Structure with Fuzzy and Conventional PID Controllers, 6th International Mediterranean Modelling Multi Conference – MAS 2009: The International Workshop on Modelling & Applied Simulation, Tenerife, Spain.

65.  E. Yesil, C. E. Uzumcu, M. Guzelkaya, I. Eksin, T. Kumbasar, 2009. Ratio Control Problem in Inventory Control Systems, 6th IFAC International Workshop on Knowledge and Technology Transfer in/to Developing Countries – DECOM-IFAC-2009, Ohridean Riviera, Macedonia.

66.  T. Kumbasar, I. Eksin, M. Guzelkaya, E. Yesil, 2008. Big Bang Big Crunch Optimization Method Based Fuzzy Model Inversion, 7th Mexican International Conference on Artificial Intelligence– MICAI 2008, Mexico City, Mexico.

67.  T. Kumbasar, Yesil E., I. Eksin, M. Guzelkaya, 2008. Inverse Fuzzy Model Control with Online Adaptation via Big Bang-Big Crunch Optimization, 3rd International Symposium on Communications, Control and Signal Processing – ISCCSP 2008, Malta.

 

National Conference Papers(in Turkish):

1.     F. Candan, S. Emir, M. Doğan, T. Kumbasar, 2018. Takviyeli Q-Öğrenme Yöntemiyle Labirent Problemi Çözümü, Turkish National Meeting on Automatic Control – TOK 2018, Kayseri.

2.     E. Armagan, T. Kumbasar, 2017. TORCS Oyun Ortamında Bulanık Mantık Tabanlı Otonom Araç Kontrol Sistemi Tasarımı, Turkish National Meeting on Automatic Control – TOK 2017, İstanbul.

3.     A. Ardic, D. Erdem, A. Beke, T. Kumbasar, 2017. Küresel Robotlarla Gerçek Zamanlı Kaçma Kovalama Oyunu, Turkish National Meeting on Automatic Control – TOK 2017, İstanbul.

4.     R. T. Cankurt, B. Uzunoglu, T. Kumbasar, 2016. Birinci Mertebeden Ölü Zamanlı Sistemler için Sistematik bir Bulanık PID Kontrolör Tasarım Yöntemi, Turkish National Meeting on Automatic Control – TOK 2016, Eskisehir.

5.     A. I. Savran, A. Beke, T. Kumbasar, E. Yesil, 2015. Ekstruder Süreçleri için İMK Tabanlı Bulanık Kazanç Ayarlama Mekanizmalı PID Kontrolör Tasarımı, Turkish National Meeting on Automatic Control – TOK 2015, Denizli.

6.     M. F. Dodurka, A. Sakalli, A. Beke, A. I. Savran, A. Sahin, T. Kumbasar, E. Yesil, H. Hagras, 2015. Tip-2 Bulanık PID Kontrolörleri için Yeni Bir Çevrimiçi Öz-Ayarlama Yaklaşımı, Turkish National Meeting on Automatic Control – TOK 2015, Denizli.

7.     M. K. Celik, E. Yesil, T. Kumbasar, 2014. Bir ve İki Serbestlik Dereceli PID Kontrolörleri için Ayar Yöntemleri ve Esnek Bir Kullanıcı Arayüz Tasarımı, Turkish National Meeting on Automatic Control – TOK 2014, Kocaeli.

8.     A. I. Basyigit, T. Kumbasar, M. Guzelkaya, I. Eksin, 2012. PI ve PD Kontrol Yapıları için Baskınlığı Garantileyen Kutup Atama Yöntemi, Turkish National Meeting on Automatic Control – TOK 2012, Nigde.

9.     E. Yesil, M. F. Dodurka, T. Kumbasar, 2012. pH Nötrleştirme Süreci için Kazanç Ayarlamalı PID Kontrolör Tasarımı ve Uygulaması, Turkish National Meeting on Automatic Control – TOK 2012, Nigde.

10.  E. Yesil, A. Taskin, T. Kumbasar, 2012. Çevrimiçi Bulanık Ayar Mekanizması İçeren Yeni Bir Kaskat Kontrol Yapısın Tasarımı ve DCS Üzerinde Gerçeklemesi, Turkish National Meeting on Automatic Control – TOK 2012, Nigde.

11.  E. Yesil, C. Ozturk, B. Cosardemir, T. Kumbasar, 2012. Bulanık PID Kontrolörlerinin Eğitiminde Durum Tabanlı Çıkarsama Yaklaşımı, Turkish National Meeting on Automatic Control – TOK 2012, Nigde.

12.  E. Yesil, M. F. Dodurka, A. Yukselen, T. Kumbasar, 2011. Kaskat Kontrol yapıları için Bulanık PID Kontrolör Tasarım Yöntemi, Turkish National Meeting on Automatic Control – TOK 2011, İzmir.

13.  E. Yesil, B. Kurtulus, H. Tozar, H., M.U. Yavas, T. Kumbasar, 2011. Melez Bulanık PID Kontrolörlerinin Tasarım Yöntemleri ve DCS Üzerinde Gerçeklenmesi, Turkish National Meeting on Automatic Control – TOK 2011, İzmir.

14.  M. S. Durmus, T. Kumbasar, E. Yesil, I. Eksin, M. T. Soylemez, 2008. İntegratör Etkili Ölü Zamanlı Süreçlerin PI-PD Kontrolü İçin Bir Bulanık Ayar Mekanizması, Turkish National Meeting on Automatic Control – TOK 2008, İstanbul.

15.  T. Kumbasar, Y. Dilmac, Y., O. A. Tekin, E. Yesil, I. Eksin, Guzelkaya M., 2007. Bulanık Modellerin Tersi Aracılığıyla Kontrolör Tasarlanması, Turkish National Meeting on Automatic Control – TOK 2007, İstanbul.