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Department of Electrical and Computer Engineering

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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

Wilson Lee, Y. J., Mehndiratta, M. & Kayacan, E. (2018). Fly without borders with Additive Manufacturing: A microscale tilt-rotor Tricopter Design. In Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (Vol. 2018-May, pp. 256-261) https://doi.org/10.25341/D43K5G

Gokhale, R., Wan, Y., Mehndiratta, M. & Kayacan, E. (2018). Fixed-wing Vertical-takeoff-and-landing UAV with Additive Manufacturing: A dual-rotor Version. In Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (Vol. 2018-May, pp. 250-255) https://doi.org/10.25341/D4Z30H

Ahmadieh Khanesar, M., Kayacan, E., Reyhanoglu, M. & Kaynak, O. (2015). Feedback Error Learning Control of Magnetic Satellites Using Type-2 Fuzzy Neural Networks With Elliptic Membership Functions. IEEE Transactions on Cybernetics, 45(4), 858-868. https://doi.org/10.1109/TCYB.2015.2388758

Ong, Z. Q. G., Govdeli, Y., Ravindrababu, S. & Kayacan, E. (2018). Feasibility Studies of Postprocessing Techniques to Strenghten 3D Printed UAV Wing Structures. In Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) (Vol. 2018-May, pp. 244-249) https://doi.org/10.25341/D4WW2K

Dong, Y., Camci, E. & Kayacan, E. (2018). Faster RRT-based Nonholonomic Path Planning in 2D Building Environments Using Skeleton-constrained Path Biasing. Journal of Intelligent and Robotic Systems, 89(3-4), 387-401. https://doi.org/10.1007/s10846-017-0567-9

Ahmadieh Khanesar, M., Kayacan, E., Teshnelab, M. & Kaynak, O. (2011). Extended Kalman Filter Based Learning Algorithm for Type-2 Fuzzy Logic Systems and its Experimental Evaluation. IEEE Transactions on Industrial Electronics, 59(11), 4443-4455. https://doi.org/10.1109/TIE.2011.2151822

Cigdem, O., Kayacan, E. & Kaynak, O. (2011). Experimental Study of an Interval Type-2 Fuzzy Neural Network Using Sliding-Mode Online Learning Algorithm. In Control Conference (ASCC), 2011 8th Asian (pp. 1181-1186). IEEE. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5899240

Andersen, K. F., Pham, H. X., Ugurlu, H. I. & Kayacan, E. (2022). Event-based Navigation for Autonomous Drone Racing with Sparse Gated Recurrent Network. In 2022 European Control Conference (ECC) (pp. 1342-1348). IEEE. https://doi.org/10.23919/ECC55457.2022.9838538

Ravindrababu, S., Govdeli, Y., Wei Wong, Z. & Kayacan, E. (2018). Evaluation of the Influence of Build and Print Orientations of Unmanned Aerial Vehicle Parts Fabricated Using Fused Deposition Modeling Process. Journal of Manufacturing Processes, 34(Part A), 659-666. https://doi.org/10.1016/j.jmapro.2018.07.007

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

Sarabakha, A., Fu, C. & Kayacan, E. (2017). Double-Input Interval Type-2 Fuzzy Logic Controllers: Analysis and Design. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (pp. 1-6). Article 8015485 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2017.8015485

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

Yan, R.-J., Leong Low, C., Duan, J., Liu, L., Kayacan, E., Chen, I.-M. & Tiong, R. (2017). Development of a Novel Post-Construction Quality Assessment Robot System. In 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 (pp. 1-6). Article 7838741 IEEE . https://doi.org/10.1109/ICARCV.2016.7838741

Thanh Nguyen, T., Vandevoorde, K., Wouters, N., Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2016). Detection of red and bicoloured apples on tree with an RGB-D camera. Biosystems Engineering, 146, 33-44. https://doi.org/10.1016/j.biosystemseng.2016.01.007

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

Imanberdiyev, N., Sood, S., Kircali, D. & Kayacan, E. (2022). Design, development and experimental validation of a lightweight dual-arm aerial manipulator with a COG balancing mechanism. Mechatronics, 82, Article 102719. https://doi.org/10.1016/j.mechatronics.2021.102719

Mehndiratta, M., Kayacan, E. & Kumbasar, T. (2016). Design and Experimental Validation of Single Input Type-2 Fuzzy PID Controllers as Applied to 3 DOF Helicopter Testbed. In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (pp. 1584-1591). Article 07737879 IEEE. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7737879

Camci, E., Campolo, D. & Kayacan, E. (2020). Deep Reinforcement Learning for Motion Planning of Quadrotors Using Raw Depth Images. In 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings Article 9207490 IEEE. https://doi.org/10.1109/IJCNN48605.2020.9207490

Pham, H. X., Ugurlu, H. I., Fevre, J. L., Bardakci, D. & Kayacan, E. (2022). Deep learning for vision-based navigation in autonomous drone racing. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 371-406). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00020-8

Ahmadieh Khanesar, M. & Kayacan, E. (2015). Controlling the Pitch and Yaw Angles of a 2-DOF Helicopter Using Interval Type-2 Fuzzy Neural Networks. In X. Yu & M. Önder Efe (Eds.), Recent Advances in Sliding Modes: From Control to Intelligent Mechatronics (pp. 349 - 370). Springer. https://doi.org/10.1007/978-3-319-18290-2

Qiao, Z., Pham, X. H., Ramasamy, S., Jiang, X., Kayacan, E. & Sarabakha, A. (2024). Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. In IJCNN 2024 Conference Proceedings IEEE. https://doi.org/10.1109/ijcnn60899.2024.10649903

Bozcan, I. & Kayacan, E. (2020). Contextual Anomaly Detection for Low Altitude Aerial Surveillance.

Bozcan, I. & Kayacan, E. (Accepted/In press). Context-Dependent Anomaly Detection for Low Altitude Traffic Surveillance. In 2021 IEEE International Conference on Robotics and Automation

D. Nona, K., Kayacan, E. & Saeys, W. (2013). Compression Modeling in the Large Square Baler. In 71st International Conference on Agricultural Engineering 2013 (pp. 1-6) https://lirias.kuleuven.be/bitstream/123456789/424705/2/AgEng2013_CompressionModeling.pdf

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

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

D. Nona, K., Lenaerts, B., Kayacan, E. & Saeys, W. (2014). Bulk compression characteristics of straw and hay. Biosystems Engineering, 118, 194-202. https://doi.org/10.1016/j.biosystemseng.2013.12.005

Imanberdiyev, N., Fu, C., Kayacan, E. & Chen, I.-M. (2017). Autonomous Navigation of UAV by Using Real-Time Model-Based Reinforcement Learning. In 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 (pp. 1-6). Article 7838739 IEEE . https://doi.org/10.1109/ICARCV.2016.7838739

Bonatti, R., Wang, W., Ho, C., Ahuja, A., Gschwindt, M., Camci, E., Kayacan, E., Choudhury, S. & Scherer, S. (2020). Autonomous aerial cinematography in unstructured environments with learned artistic decision-making. Journal of Field Robotics, 37(4), 606-641. https://doi.org/10.1002/rob.21931

Mehndiratta, M., Camci, E. & Kayacan, E. (2018). Automated Tuning of Nonlinear Model Predictive Controller by Reinforcement Learning. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018: IROS (pp. 3016-3021). Article 8594350 IEEE. https://doi.org/10.1109/IROS.2018.8594350

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

Bozcan, I. & Kayacan, E. (2020). AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance. In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 8504-8510). IEEE. https://doi.org/10.1109/ICRA40945.2020.9196845

H. Abiyev, R., Kaynak, O. & Kayacan, E. (2013). A Type-2 Fuzzy Wavelet Neural Network for System Identification and Control. Journal of the Franklin Institute, 350(7), 1658-1685. https://doi.org/10.1016/j.jfranklin.2013.04.020

Mehndiratta, M., Kayacan, E. & Kayacan, E. (2018). A Simple Learning Strategy for Feedback Linearization Control of Aerial Package Delivery Robot. In 2018 IEEE Conference on Control Technology and Applications, CCTA 2018: CCTA (pp. 361-367). Article 8511485 IEEE. https://doi.org/10.1109/CCTA.2018.8511485

Oniz, Y., Kayacan, E., Cisel Aras, A., Kaynak, O. & H. Abiyev, R. (2010). A servo system control with time-varying load using type-2 fuzzy neural system, In IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society (pp. 35-40). IEEE. https://doi.org/10.1109/IECON.2010.5675372

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., 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

Thanh Nguyen, T., Keresztes, J., Vandevoorde, K., Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2014). Apple detection algorithm for robotic harvesting using a RGB-D camera. In Proceedings International Conference of Agricultural Engineering (pp. 1-8) https://pdfs.semanticscholar.org/d294/58c25c8bde8492c15eacb96c871c2030f2c5.pdf

Cowan, B., Fu, C., Imanberdiyev, N., Dong, Y. & Kayacan, E. (2018). A Performance Evaluation of Methods for Visual Tracking. In The 14th International Conference on Control, Automation, Robotics and Vision (pp. 1-6). IEEE.

Ahmadieh Khanesar, M., Teshnelab, M., Kayacan, E. & Kaynak, O. (2010). A Novel Type-2 Fuzzy Membership Function: Application to the Prediction of Noisy. In Computational Intelligence for Measurement Systems and Applications (CIMSA), 2010 IEEE International Conference on (pp. 128-133). IEEE. https://doi.org/10.1109/CIMSA.2010.5611774

Cigdem, O., Kayacan, E., Ahmadieh Khanesar, M., Kaynak, O. & Teshnelab, M. (2011). A Novel Training Method Based-on Variable Structure Systems Theory for Fuzzy Neural Networks. In Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on (pp. 44-51). IEEE . https://doi.org/10.1109/CICA.2011.5945757

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

Yan, R.-J., Wu, J., Yeung Lee, J., Manan Khan, A., Han, C.-S., Kayacan, E. & Chen, I.-M. (2016). A Novel Method for 3D Reconstruction: Division and Merging of Overlapping B-spline surfaces. Computer-Aided Design, 81, 14-23. https://doi.org/10.1016/j.cad.2016.08.007

Ahmadieh Khanesar, M. & Kayacan, E. (2017). A Novel Complexity Reduced Levenberge-Marquardt Optimization Algorithm: Application to the Training of Interval Type-2 Fuzzy Systems. In FUZZ-IEEE 2017 (pp. 1-6). IEEE.

Yan, R.-J., Kayacan, E., Chen, I.-M. & Kong Tiong, L. (2017). A novel building post-construction quality assessment robot: Design and prototyping. In IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 6020-6026). Article 8206499 IEEE. https://doi.org/10.1109/IROS.2017.8206499

Guruge, P., Bahadir Kocer, B. & Kayacan, E. (2015). A Novel Automatic UAV Launcher Design by Using Bluetooth Low Energy Integrated Electromagnetic Releasing System. In Humanitarian Technology Conference (R10-HTC), 2015 IEEE Region 10 (pp. 1-4). IEEE. https://doi.org/10.1109/R10-HTC.2015.7391861

Ahmadieh Khanesar, M., Kayacan, E., Kaynak, O. & Teshnelab, M. (2011). An Online Training Algorithm Based on the Fusion of Sliding Mode Control Theory and Fuzzy Neural Networks with Triangular Membership Functions. In Control Conference (ASCC), 2011 8th Asian (pp. 617-622). IEEE . https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5899143

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

Prach, A. & Kayacan, E. (2018). An MPC-based Position Controller for a Tilt-Rotor Tricopter VTOL UAV. Optimal Control, Applications and Methods, 39(1), 343-356. https://doi.org/10.1002/oca.2350

Displaying results 101 to 150 out of 168

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Andriy Sarabakha