Publications by Signal Processing & Machine Learning

Are you looking for publications by Section of Signal Processing & Machine Learning? On this page you can find all the publications made by the Section of Signal Processing & Machine Learning - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

Sort by: Date | Author | Title

Zhang, C., Rossi, C. & Kayacan, E. (2017). Interval Type-2 Fuzzy-Neuro Control of Nonlinear Systems With Proved Overall System Stability. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (pp. 1-6). Article 8015495 IEEE. https://doi.org/10.1109/FUZZ-IEEE.2017.8015495

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.

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

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

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

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

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., 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

V. Topalev, A., Oniz, Y., Kayacan, E. & Kaynak, O. (2011). Neuro-Fuzzy Control of Antilock Braking System Using Sliding Mode Incremental Learning Algorithm. Neurocomputing, 74(11), 1883-1893. https://doi.org/10.1016/j.neucom.2010.07.035

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

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

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. (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., 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

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

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

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

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

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

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. (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). 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). 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., 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. & 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

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

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

Rubio Hervas, J., Reyhanoglu, M., Tang, H. & Kayacan, E. (2015). Nonlinear control of fixed-wing UAVs in presence of stochastic winds. Communications in Nonlinear Science and Numerical Simulation, 33, 57-69. https://doi.org/10.1016/j.cnsns.2015.08.026

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

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

Fu, C., Duan, R., Kircali, D. & Kayacan, E. (2016). Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model. Sensors, 16(9), Article 1406. https://doi.org/10.3390/s16091406

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

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. & 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

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.

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

Eren, U., Prach, A., Bahadir Kocer, B., Rakovic, S. V., Kayacan, E. & Acikmese, B. (2017). Model Predictive Control in Aerospace Systems: Current State and Opportunities. AIAA Journal of Guidance, Control and Dynamics, 40(7), 1541-1566. https://doi.org/10.2514/1.G002507

Duan, R., Fu, C. & Kayacan, E. (2017). Tracking-Recommendation-Detection. Pictures, Video and sound recordings (digital), YouTube. https://www.youtube.com/watch?v=L3XjGvsy4BA

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

Sarabakha, A., Imanberdiyev, N., Kayacan, E., Ahmadieh Khanesar, M. & Hagras, H. (2017). Novel Levenberg-Marquardt Based Learning Algorithm for Unmanned Aerial Vehicles. Information Sciences, 417, 361-380. https://doi.org/10.1016/j.ins.2017.07.020

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

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

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

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

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

Camci, E., Raju Kripalani, D., Ma, L., Kayacan, E. & Ahmadieh Khanesar, M. (2017). 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

Eyoh, I., John, R., De Maere, G. & Kayacan, E. (2018). Hybrid Learning for Interval Type-2 Intuitionistic Fuzzy Logic Systems as applied to Identification and Prediction Problems, IEEE Transactions on Fuzzy Systems, 26(5), 2672-2685. https://doi.org/10.1109/TFUZZ.2018.2803751

Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R. & Garibaldi, J. M. (2018). Input Uncertainty Sensitivity Enhanced Non-Singleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor VTOL UAVs. IEEE - ASME Transactions on Mechatronics, 23(2), 725-734. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8304792

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

Chen, I.-M., Asadi, E., Nie, J., Yan, R.-J., Chuan Law, W., Kayacan, E., Huat Yeo, S., Huat Low, K., Seet, G. & Tiong, R. (2016). Innovations in Infrastructure Service Robots. In V. Parenti-Castelli & W. Schiehlen (Eds.), CISM International Centre for Mechanical Sciences, Courses and Lectures: Proceedings of the 21st CISM-IFToMM Symposium (pp. 3-16). Springer. https://doi.org/10.1007/978-3-319-33714-2_1

Displaying results 501 to 550 out of 1033

Back to the main page

Revised 10.08.2023

AU Engineering