Modelling and Control of a Rotary Inverted Pendulum
PID, LQR, and energy-based swing-up LQR on Quanser Qube Servo 2. 
PID, LQR, and energy-based swing-up LQR on Quanser Qube Servo 2. 
Participated in MATLAB and Simulink Challenge Projects program. Extended to a conference paper. 
Project paper prepared for CS-E4740 - Federated Learning course. 
Published in 10th International Conference on Recent Advances in Space Technologies (RAST), 2023
Real-time deep learning framework for quadcopters to recognize and track persons of interest autonomously.
Recommended citation: H. E. Dursun, E. C. Güven, B. Avcı, and T. Kumbasar. (2023). "Recognizing and Tracking Person of Interest: A Real-Time Efficient Deep Learning Based Method for Quadcopters." RAST. Istanbul, Turkey.
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Published in IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2023
A novel approach to uncertainty quantification using General Type-2 Fuzzy Systems for reliable and precise predictions.
Recommended citation: B. Avcı, A. Beke, and T. Kumbasar. (2023). "Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy Systems." IEEE FUZZ-IEEE. Songdo Incheon, Korea.
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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