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Department of Electrical and Computer Engineering

Publications

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Patel, S., Sarabakha, A., Kircali, D. & Kayacan, E. (2020). An Intelligent Hybrid Artificial Neural Network-Based Approach for Control of Aerial Robots. Journal of Intelligent and Robotic Systems: Theory and Applications, 97(2), 387-398. https://doi.org/10.1007/s10846-019-01031-z

Prach, A., Kayacan, E. & S. Bernstein, D. (2016). An Experimental Evaluation of the Forward Propagating Riccati Equation to Nonlinear Control of the Quanser 3 DOF Hover Testbed. In 2016 American Control Conference, ACC 2016 (pp. 3710-3715). Article 7525490 IEEE. https://doi.org/10.1109/ACC.2016.7525490

Ahmadieh Khanesar, M., Kayacan, E., Teshnelab, M. & Kaynak, O. (2011). Analysis of the Noise Reduction Property of Type-2 Fuzzy Logic Systems Using a Novel Type-2 Membership Function. IEEE Transactions on Cybernetics, 41(5), 1395-1406. https://doi.org/10.1109/TSMCB.2011.2148173

Camci, E., Raju Kripalani, D., Ma, L., Kayacan, E. & Ahmadieh Khanesar, M. (2018). An Aerial Robot for Rice Farm Quality Inspection With Type-2 Fuzzy Neural Networks Tuned by Particle Swarm Optimization-Sliding Mode Control Hybrid Algorithm. Swarm and Evolutionary Computation, 41, 1-8. https://doi.org/10.1016/j.swevo.2017.10.003

Cisel Aras, A., Kayacan, E., Oniz, Y., Kaynak, O. & H. Abiyev, R. (2010). An Adaptive Neuro-Fuzzy Architecture for Intelligent Control of a Servo System and its Experimental Evaluation. In Industrial Electronics (ISIE), 2010 IEEE International Symposium on (pp. 68-73). IEEE . https://doi.org/10.1109/ISIE.2010.5637706

Kayacan, E. & Kaynak, O. (2009). An Adaptive Grey PID Type Fuzzy Controller Design for a Nonlinear Liquid Level System. Transactions of the Institute of Measurement and Control, 31(1), 33-49. https://doi.org/10.1177/0142331208090629

Kayacan, E. & Kaynak, O. (2006). An Adaptive Grey Fuzzy PID Controller With Variable Prediction Horizon. In SCIS&ISIS2006 (pp. 760-765) http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=F41AB2B31754039859E731BD9BA145A3?doi=10.1.1.162.1218&rep=rep1&type=pdf

Imanberdiyev, N., Monica, J. & Kayacan, E. (2019). A multi-task velocity-based redundancy resolution strategy for unmanned aerial manipulators. In 2019 18th European Control Conference, ECC 2019 (pp. 1130-1135). Article 8796272 IEEE. https://doi.org/10.23919/ECC.2019.8796272

Kayacan, E., Oniz, Y. & Kaynak, O. (2009). A Grey System Modeling Approach for Sliding-Mode Control of Antilock Braking System. IEEE Transactions on Industrial Electronics, 56(8), 3244-3252. https://doi.org/10.1109/TIE.2009.2023098

Oniz, Y., Kayacan, E. & Kaynak, O. (2007). A Grey Sliding Mode Controller Design for Antilock Braking System. In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. 1-8). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2007-34563

Imanberdiyev, N. & Kayacan, E. (2019). A fast learning control strategy for unmanned aerial manipulators. Journal of Intelligent and Robotic Systems, 94(3-4), 805-824. https://doi.org/10.1007/s10846-018-0884-7

Oniz, Y., Kayacan, E. & Kaynak, O. (2008). A Dynamic Method to Forecast the Wheel Slip for Antilock Braking System and Its Experimental Evaluation. IEEE Transactions on Cybernetics, 39(2), 551-560. https://doi.org/10.1109/TSMCB.2008.2007966

Govdeli, Y., Wei Wong, Z. & Kayacan, E. (2016). ADDITIVE MANUFACTURING OF UNMANNED AERIAL VEHICLES: CURRENT STATUS, RECENT ADVANCES, AND FUTURE PERSPECTIVES. In C. K. Chua, W. Y. Yeong, M. J. Tan, E. Liu & S. B. Tor (Eds.), Proc. of the 2nd Intl. Conf. on Progress in Additive Manufacturing (pp. 39-48). Research Publishing, Singapore. https://dr.ntu.edu.sg/bitstream/handle/10220/41825/Additive%20Manufacturing%20of%20Unmanned%20Aerial%20Vehicles-Current%20Status%2C%20Recent%20Advances%2C%20and%20Future%20Perspectives.pdf?sequence=1&isAllowed=y

V. Topalev, A., Kayacan, E., Oniz, Y. & Kaynak, O. (2009). Adaptive Neuro-Fuzzy Control with Sliding Mode Learning Algorithm: Application to Antilock Braking System. In Asian Control Conference, 2009. ASCC 2009. 7th (pp. 784-789). IEEE . https://ieeexplore.ieee.org/document/5276234/

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding Mode Control Theory-Based Online Learning Algorithm. IEEE Transactions on Cybernetics, 43(1), 170-179. https://doi.org/10.1109/TSMCB.2012.2202900

Kayacan, E., Oniz, Y., Kaynak, O. & V. Topalev, A. (2008). Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks. In Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on (pp. 356-361). IEEE . https://doi.org/10.1109/ICMLA.2008.15

Mehndiratta, M. & Kayacan, E. (2019). A constrained instantaneous learning approach for aerial package delivery robots: onboard implementation and experimental results. Autonomous Robots, 43(8), 2209-2228. https://doi.org/10.1007/s10514-019-09875-y

Fu, C., Sarabakha, A. & Kayacan, E. (2016). A Comparative Study on the Control of Quadcopter UAVs by using Singleton and Non-Singleton Fuzzy Logic Controllers. In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (pp. 1023-1030). Article 7737800 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2016.7737800

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Andriy Sarabakha