Find

Til studerende
Til ph.d.er
Til medarbejdere

Institut for Elektro- og Computerteknologi

Publications

Sortér efter: Dato | Forfatter | Titel

Camci, E. & Kayacan, E. (2016). Y6 Waitress Quadcopter Explores How To Serve Drinks By Reinforcement Learning. I 2016 IEEE Region 10 Conference (TENCON) (s. 28-32)

Sarabakha, A. & Kayacan, E. (2016). Y6 tricopter autonomous evacuation in an Indoor Environment using Q-learning algorithm. I 2016 IEEE 55th Conference on Decision and Control, CDC 2016 (s. 5992-5997). Artikel 7799189 IEEE . https://doi.org/10.1109/CDC.2016.7799189

Fu, C., Duan, R. & Kayacan, E. (2019). Visual tracking with online structural similarity-based weighted multiple instance learning. Information Sciences, 481, 292-310. https://doi.org/10.1016/j.ins.2018.12.080

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. I IFAC Proceedings Volumes (22 udg., Bind 45, s. 863-868). Elsevier. https://doi.org/10.3182/20120905-3-HR-2030.00123

baran, E. A., Zhakypov, Z., Kayacan, E. & Sabanovic, A. (2014). Uzaktan Lazer Cerrahi İçin Kısıtlı Sistem Tabanlı Efendi Köle Denetleyicisi. I TOK 2014 (s. 675-680) http://research.sabanciuniv.edu/24776/1/2014_RA417_TOK2014_Eray_205.pdf

Govdeli, Y., Moheed Bin Muzaffar, S., Raj, R., Elhadidi, B. & Kayacan, E. (2019). Unsteady aerodynamic modeling and control of pusher and tilt-rotor quadplane configurations. Aerospace Science and Technology, 94, Artikel 105421. https://doi.org/10.1016/j.ast.2019.105421

Hansen, J. G., Heiß, M., Kozłowski, M. & Kayacan, E. (2022). UAV Trajectory Evaluation in Large Industrial Environments: A Cost-Effective Solution. I 2022 European Control Conference (ECC) (s. 1336-1341). IEEE. https://doi.org/10.23919/ECC55457.2022.9838352

Bozcan, I. & Kayacan, E. (2020). UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance. I 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (s. 1158-1164). Artikel 9341790 IEEE. https://doi.org/10.1109/IROS45743.2020.9341790

Kayacan, E. & Maslim, R. (2016). 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

Sarabakha, A. (Producent), Fu, C. (Producent), Kayacan, E. (Producent) & Kumbasar, T. (Producent). (2016). Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment in Real-Time for Quadcopter UAVs. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=Hz3f8N-30dg

Sarabakha, A., Fu, C., Kayacan, E. & Kumbasar, T. (2018). Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment in Real-Time for Quadcopter UAVs. IEEE Transactions on Industrial Electronics, 65(6), 5069-5077. https://doi.org/10.1109/TIE.2017.2767546

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

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

Duan, R., Fu, C. & Kayacan, E. (2017). Tracking-Recommendation-Detection. Engineering Applications of Artificial Intelligence, 64, 128-139. https://doi.org/10.1016/j.engappai.2017.05.012

Duan, R. (Producent), Fu, C. (Producent) & Kayacan, E. (Producent). (2017). Tracking-Recommendation-Detection. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=L3XjGvsy4BA

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. (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

Thanh Nguyen, T., Kayacan, E., G. de Baerdemaeker, J. & Saeys, W. (2013). Task and Motion Planning for Apple-Harvesting Robot. I IFAC Proceedings Volumes (18 udg., Bind 46, s. 247-252). Elsevier. https://doi.org/10.3182/20130828-2-SF-3019.00063

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

Ahmadieh Khanesar, M., Kayacan, E., Kaynak, O. & Saeys, W. (2013). Sliding Mode Type-2 Fuzzy Control of Robotic Arm Using Ellipsoidal Membership Functions. I Control Conference (ASCC), 2013 9th Asian (s. 1-6). IEEE. https://doi.org/10.1109/ASCC.2013.6606393

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

Rubio Hervas, J., Kayacan, E., Reyhanoglu, M. & Tang, H. (2014). Sliding Mode Control of Fixed- Wing UAVs in Windy Environments. I Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on (s. 986-991). IEEE . https://doi.org/10.1109/ICARCV.2014.7064440

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. (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

Oniz, Y., Kayacan, E. & Kaynak, O. (2008). Simulated and Experimental Study of Antilock Braking System Using Grey Sliding Mode Control. I Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on (s. 90-95). IEEE . https://doi.org/10.1109/ICSMC.2007.4413975

Ugurlu, H. I., Pham, X. H. & Kayacan, E. (2022). Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots. Robotics, 11(5), Artikel 109. https://doi.org/10.3390/robotics11050109

Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R. & Garibaldi, J. M. (2017). Similarity-based Non-Singleton Fuzzy Logic Control for Improved Uncertainty Handling in Quadrotor UAVs. I Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (s. 1-6). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2017.8015440

Bozcan, I., Korndörfer, C., Madsen, M. W. & Kayacan, E. (2021). Score-based Anomaly Detection for Smart Manufacturing Systems. Manuskript afsendt til publicering.

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. I 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (s. 1901-1907) https://doi.org/10.1109/CASE49439.2021.9551637

Dong, Y., Fu, C. & Kayacan, E. (2016). RRT-based 3D Path Planning for Formation Landing of Quadrotor. I 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 (s. 1-6). Artikel 7838567 IEEE . https://doi.org/10.1109/ICARCV.2016.7838567

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

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

Imanberdiyev, N. & Kayacan, E. (2020). Redundancy Resolution based Trajectory Generation for Dual-Arm Aerial Manipulators via Online Model Predictive Control. I Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (s. 674-681). Artikel 9254702 IEEE. https://doi.org/10.1109/IECON43393.2020.9254702

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

Duan, R., Fu, C. & Kayacan, E. (2016). Recoverable Recommended Keypoint-aware Visual Tracking Using Coupled-layer Appearance Modelling. I IROS 2016 - 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (s. 4085-4091). Artikel 7759601 IEEE. https://doi.org/10.1109/IROS.2016.7759601

Mehndiratta, M. & Kayacan, E. (2018). Reconfigurable Fault-tolerant NMPC for Y6 Coaxial Tricopter with Complete Loss of One Rotor. I 2018 IEEE Conference on Control Technology and Applications, CCTA 2018: CCTA (s. 774-780). Artikel 8511444 IEEE. https://doi.org/10.1109/CCTA.2018.8511444

Duan, R., Fu, C., Kayacan, E. & Pani Paudel, D. (2016). Recommended Keypoint-Aware Tracker: Adaptive Real-time Visual Tracking Using Consensus Feature Prior Ranking. I 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (s. 449-453). Artikel 7532397 IEEE. https://doi.org/10.1109/ICIP.2016.7532397

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.

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

Figueiredo, R. P. D., Sejersen, J. L. F., Hansen, J. G., Brandão, M. & Kayacan, E. (2021). Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach.

Yan, R. J., Kayacan, E., Chen, I. M., Tiong, L. K. & Wu, J. (2019). QuicaBot: Quality Inspection and Assessment Robot. IEEE Transactions on Automation Science and Engineering, 16(2), 506-517. https://doi.org/10.1109/TASE.2018.2829927

Camci, E. & Kayacan, E. (2019). Planning swift maneuvers of quadcopter using motion primitives explored by reinforcement learning. I Proceedings of the American Control Conference: 2019 American Control Conference, ACC 2019 (s. 279-285). Artikel 8815352 IEEE.

Jun Hao Nicholas, N., Bahadir Kocer, B., Kayacan, E. & Wai Yee, Y. (2015). Piezoceramic Materials for Energy Harvesting on 3D Printed Unmanned Aerial Vehicles: A Feasibility Study. I Humanitarian Technology Conference (R10-HTC), 2015 IEEE Region 10 (s. 1-4). IEEE. https://doi.org/10.1109/R10-HTC.2015.7391845

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. I Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on (s. 1-7). IEEE. https://doi.org/10.1109/FUZZ-IEEE.2015.7337945

Pham, X. H., Sarabakha, A., Odnoshyvkin, M. & Kayacan, E. (2022). PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing. IEEE Robotics and Automation Letters, 7(4), 11847 - 11854. https://doi.org/10.1109/LRA.2022.3207545

Ahmadieh Khanesar, M., Kayacan, E. & Kaynak, O. (2015). Optimal Sliding Mode Type-2 TSK Fuzzy Control of a 2-DOF Helicopter. I Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on (s. 1-6). IEEE . https://doi.org/10.1109/FUZZ-IEEE.2015.7337799

Hassan, S., Ahmadieh Khanesar, M., Kayacan, E., jaafar, J. & Khosravi, A. (2016). Optimal design of adaptive type-2 neuro-fuzzy systems: A review. Applied Soft Computing, 44, 134-143. https://doi.org/10.1016/j.asoc.2016.03.023

Van Beers, R., Gutierrez, L. L., Schenk, A., Nicolai, B., Kayacan, E. & Saeys, W. (2014). Optical measurement techniques for the ripeness determination of Braeburn apples. I Proceedings International Conference of Agricultural Engineering (s. 1-7) http://www.geyseco.es/geystiona/adjs/comunicaciones/304/C02000001.pdf

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. I R. John, H. Hagras & O. Castillo (red.), Studies in Fuzziness and Soft Computing (Bind 362, s. 49-73). Springer. https://doi.org/10.1007/978-3-319-72892-6_3

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

Viser resultater 1 til 50 ud af 162

1

Revideret 10.08.2023

-

ece@au.dk