Publications

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Mehndiratta, M., Kayacan, E., Reyhanoglu, M. & Kayacan, E. (2020). Robust Tracking Control of Aerial Robots Via a Simple Learning Strategy-Based Feedback Linearization. IEEE Access, 8, 1653-1669. https://doi.org/10.1109/ACCESS.2019.2962512

Mehndiratta, M. & Kayacan, E. (2020). Gaussian Process-based Learning Control of Aerial Robots for Precise Visualization of Geological Outcrops. In 2020 European Control Conference (ECC) (pp. 10-16). Article 9143655 IEEE.

Mehndiratta, M., Camci, E. & Kayacan, E. (2021). Can deep models help a robot to tune its controller? A step closer to self-tuning model predictive controllers. Electronics, 10(18), Article 2187. https://doi.org/10.3390/electronics10182187

Mehndiratta, M., Singh, K., Kayacan, E. & Feroskhan, M. (2021). Receding Horizon-based Fault-tolerant Control of QuadPlus: An Over-actuated Quadrotor. In 2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021 (pp. 853-859). IEEE. https://doi.org/10.1109/CASE49439.2021.9551527

Maslim, R., Chaoyi, H., Yixi, Z., Linhao, J., Bahadir Kocer, B. & Kayacan, E. (2015). Performance evaluation of adaptive and nonadaptive fuzzy structures for 4D trajectory tracking of quadrotors: A comparative study. In Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on (pp. 1-7). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2015.7337945

Low, J. M., Govdeli, Y., Ravindrababu, S. & Kayacan, E. (2018). ON THE COMPARISON OF DIAMOND HONEYCOMB AND 3D- KAGOME STRUCTURES FOR 3D PRINTED UAVS. In Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (pp. 341-346) https://doi.org/10.25341/D49G6P

Liu, L., Yan, R.-J., Maruvanchery, V., Kayacan, E., Chen, I.-M. & Kong Tiong, L. (2017). Transfer learning on convolutional activation feature as applied to a building quality assessment robot. International Journal of Advanced Robotic Systems, 14(3), 1-12. https://doi.org/10.1177/1729881417712620

Liu, L., Chen, I.-M., Kayacan, E., Kong Tiong, L. & Maruvanchery, V. (2015). Automated Construction Quality Assessment: A review. In Mechatronics and its Applications (ISMA), 2015 10th International Symposium on (pp. 1-6). IEEE. https://doi.org/10.1109/ISMA.2015.7373459

Liu, Z., Liang, J., Zhang, S. & Kayacan, E. (2022). ANN-Based vibration control of an aerial refueling hose system with input nonlinearity and prescribed output constraint. Journal of the Franklin Institute, 359(6), 2627-2645. https://doi.org/10.1016/j.jfranklin.2022.01.006

le Fevre Sejersen, J., Pimentel De Figueiredo, R. & Kayacan, E. (2021). Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (pp. 1901-1907) https://doi.org/10.1109/CASE49439.2021.9551637

Kraus, T., Ferreau, H. J., Kayacan, E., Ramon, H., De Baerdemaeker, J., Diehl, M. & Saeys, W. (2013). Moving horizon estimation and nonlinear model predictive control for autonomous agricultural vehicles. Computers and Electronics in Agriculture, 98, 25-33. https://doi.org/10.1016/j.compag.2013.06.009

Kraus, T., Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2013). High-Speed Adaptive Nonlinear Predictive Control for Autonomous Tractor Navigation. In IFAC Proceedings Volumes (4 ed., Vol. 46, pp. 135-140). Elsevier. https://doi.org/10.3182/20130327-3-JP-3017.00032

Kayacan, E. & Ahmadieh Khanesar, M. (2017). Fuzzy Neural Networks for Real Time Control Applications, Concepts, Modeling and Algorithms for Fast Learning. Butterworth-Heinemann. https://books.google.dk/books?id=8X4VBgAAQBAJ&printsec=frontcover&hl=da#v=onepage&q&f=false

Kayacan, E., Kayacan, E., Chen, I.-M., Ramon, H. & Saeys, W. (2018). On The Comparison of Model-Based and Model-Free Controllers in Guidance, Navigation and Control of Agricultural Vehicles. In R. John, H. Hagras & O. Castillo (Eds.), Studies in Fuzziness and Soft Computing (Vol. 362, pp. 49-73). Springer. https://doi.org/10.1007/978-3-319-72892-6_3

Kayacan, E., Sarabakha, A., Coupland, S., John, R. & Ahmadieh Khanesar, M. (2018). Type-2 Fuzzy Elliptic Membership Functions for Modeling Uncertainty. Engineering Applications of Artificial Intelligence, 70, 170-183. https://doi.org/10.1016/j.engappai.2018.02.004

Kayacan, E. & Mehndiratta, M. (2017). Receding Horizon Control of 3 DOF Helicopter Using Online Estimation of Aerodynamic Parameters. Proceedings of the Institution of Mechanical Engineers Part G-Journal of Aerospace Engineering, 1-12.

Kayacan, E. & Maslim, R. (2017). Type-2 Fuzzy Logic Trajectory Tracking Control of Quadrotor VTOL Aircraft With Elliptic Membership Functions. IEEE - ASME Transactions on Mechatronics, 22(1), 339-348. https://doi.org/10.1109/TMECH.2016.2614672

Kayacan, E., Ahmadieh Khanesar, M., Rubio-Hervas, J. & Reyhanoglu, M. (2017). Learning control of fixed-wing unmanned aerial vehicles using fuzzy neural networks. International Journal of Aerospace Engineering, 2017, Article 5402809. https://doi.org/doi.org/10.1155/2017/5402809

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2015). Towards agrobots: Identification of the yaw dynamics and trajectory tracking of an autonomous tractor. Computers and Electronics in Agriculture, 115, 78-87. https://doi.org/10.1016/j.compag.2015.05.012

Kayacan, E., Kayacan, E. & Ahmadieh Khanesar, M. (2014). Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks - A Novel Learning Algorithm and a Comparative Study. IEEE Transactions on Industrial Electronics, 62(3), 1716-1724. https://doi.org/10.1109/TIE.2014.2345353

Kayacan, E., Kayacan, E., Ramon, H., Kaynak, O. & Saeys, W. (2014). Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers. IEEE - ASME Transactions on Mechatronics, 20(1), 287-298. https://doi.org/10.1109/TMECH.2013.2291874

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2014). Robust Tube-based Decentralized Nonlinear Model Predictive Control of an Autonomous Tractor-Trailer System. IEEE - ASME Transactions on Mechatronics, 20(1), 447-456. https://doi.org/10.1109/TMECH.2014.2334612

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2014). Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System. IEEE Transactions on Control Systems Technology, 23(1), 197-205. https://doi.org/10.1109/TCST.2014.2321514

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2014). Distributed nonlinear model predictive control of an autonomous tractor-trailer. Mechatronics, 24(8), 926-933. https://doi.org/10.1016/j.mechatronics.2014.03.007

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2014). Nonlinear modeling and identification of an autonomous tractor–trailer system. Computers and Electronics in Agriculture, 106, 1-10. https://doi.org/10.1016/j.compag.2014.05.002

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., Cigdem, O. & Kaynak, O. (2011). Sliding Mode Control Approach for Online Learning as Applied to Type-2 Fuzzy Neural Networks and its Experimental Evaluation. IEEE Transactions on Industrial Electronics, 59(9), 3510-3520. https://doi.org/10.1109/TIE.2011.2182017

Kayacan, E. & Kaynak, O. (2012). Sliding Mode Control Theory-based Algorithm for Online Learning in Type-2 Fuzzy Neural Networks: Application to Velocity Control of an Electro Hydraulic Servo System. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 26(7), 645-659. https://doi.org/10.1002/acs.1292

Kayacan, E., Oniz, Y., Cisel Aras, A., Kaynak, O. & H. Abiyev, R. (2011). A Servo System Control with Time-varying and Nonlinear Load Conditions Using Type-2 TSK Fuzzy Neural System. Applied Soft Computing, 11(8), 5735-5744. https://doi.org/10.1016/j.asoc.2011.03.008

Kayacan, E. & Kaynak, O. (2011). Single-step Ahead Prediction Based on the Principle of Concatenation Using Grey Predictors. Expert Systems with Applications, 38(8), 9499-9505. https://doi.org/10.1016/j.eswa.2011.01.143

Kayacan, E., Ulutas, B. & Kaynak, O. (2009). Grey System Theory-Based Models in Time Series Prediction. Expert Systems with Applications, 37(2), 1784-1789. https://doi.org/10.1016/j.eswa.2009.07.064

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

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., Coupland, S., John, R. & Ahmadieh Khanesar, M. (2017). Elliptic Membership Functions and the Modeling Uncertainty in Type-2 Fuzzy Logic Systems As Applied to Time Series Prediction. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (pp. 1-7). Article 8015457 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2017.8015457

Kayacan, E. & Ahmadieh Khanesar, M. (2016). Recurrent Interval Type-2 Fuzzy Control of 2-DOF Helicopter With Finite Time Training Algorithm. In IFAC-PapersOnLine (13 ed., Vol. 49, pp. 293-299). Elsevier. https://doi.org/10.1016/j.ifacol.2016.07.977

Kayacan, E., M. Peschel, J. & Kayacan, E. (2016). Centralized, Decentralized and Distributed Nonlinear Model Predictive Control of a Tractor-Trailer System: A Comparative Study. In 2016 American Control Conference, ACC 2016 (pp. 4403-4408). Article 7525615 IEEE. https://doi.org/10.1109/ACC.2016.7525615

Kayacan, E., Ahmadieh Khanesar, M. & Kayacan, E. (2015). Stabilization of Type-2 Fuzzy Takagi- Sugeno-Kang Identifier Using Lyapunov Functions. In Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on (pp. 1-6). IEEE . https://doi.org/10.1109/FUZZ-IEEE.2015.7337809

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2013). Modeling and Identification of the Yaw Dynamics of an Autonomous Tractor. In Control Conference (ASCC), 2013 9th Asian (pp. 1-6). IEEE. https://doi.org/10.1109/ASCC.2013.6606388

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). A Robust On-line Learning Algorithm for Type-2 Fuzzy Neural Networks and its Experimental Evaluation on an Autonomous Tractor. In Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on (pp. 1652-1657). IEEE. https://doi.org/10.1109/ICSMC.2012.6377974

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Velocity Control of a Spherical Rolling Robot Using a Grey-PID Type Fuzzy Controller With an Adaptive Step Size. In IFAC Proceedings Volumes (22 ed., Vol. 45, pp. 863-868). Elsevier. https://doi.org/10.3182/20120905-3-HR-2030.00123

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Neuro-Fuzzy Control with a Novel Training Method Based-on Sliding Mode Control Theory: Application to Tractor Dynamics. In IFAC Proceedings Volumes (22 ed., Vol. 45, pp. 889-894). Elsevier. https://doi.org/10.3182/20120905-3-HR-2030.00014

Kayacan, E., Saeys, W., Kayacan, E., Ramon, H. & Kaynak, O. (2012). Intelligent Control of a Tractor-Implement System Using Type-2 Fuzzy Neural Networks. In Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on (pp. 1-8). IEEE . https://doi.org/10.1109/FUZZ-IEEE.2012.6250790

Kayacan, E., Cigdem, O. & Kaynak, O. (2011). A Novel Training Method Based-on Variable Structure Systems Approach for Interval Type-2 Fuzzy Neural Networks. In Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2011 IEEE Symposium on (pp. 142-149). IEEE. https://doi.org/10.1109/T2FUZZ.2011.5949557

Kayacan, E., Kaynak, O., H. Abiyev, R., Tørresen, J., Høvin, M. & Glette, K. (2010). Design of an Adaptive Interval Type-2 Fuzzy Logic Controller for the Position Control of a Servo System with an Intelligent Sensor. In Fuzzy Systems (FUZZ), 2010 IEEE International Conference on (pp. 1125-1132). IEEE . https://doi.org/10.1109/FUZZY.2010.5584629

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

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

Kayacan, E. & Kaynak, O. (2006). Grey Prediction Based Control of a Non-Linear Liquid Level System Using PID Type Fuzzy Controller. In Mechatronics, 2006 IEEE International Conference on (pp. 292-296). IEEE . https://doi.org/10.1109/ICMECH.2006.252541

Kayacan, E. & Kaynak, O. (2018). Hata Artıklarını Kullanarak Gri Modellerin Duzeltilmesi: Error Modification of Grey Models using Principle of Concatenation. In SIU2010 - IEEE 18.Sinyal isleme ve iletisim uygulamalari kurultayi - Diyarbakir (pp. 77-80) https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5649067

Kayacan, E., Kayacan, E., Ramon, H. & Saeys, W. (2012). Model Predictive Control of the Yaw Dynamics of an Autonomous Tractor. In A. Peruzzi (Ed.), : Proceedings of the First International Conference on Robotics and Associated High-technologies and Equipment for Agriculture. Applications of automated systems and robotics for crop protection in sustainable precision agriculture (pp. 157-162). University of Pisa.

Kayacan, E., Oniz, Y., Kaynak, O. & V. Topalev, A. (2008). Kilitlenmeyen Fren Sistemi (KFS)’nin Gri cok Katmanli Ileri Beslemeli Yapay Sinir Aglari ile Uyarlamali Kontrolu. In TOK 2008 Otomatik Kontrol Ulusal Toplantisi (pp. 453-458)

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Revised 10.08.2023

Andriy Sarabakha