Fuzzy models have been employed for the analysis and design of a wide range of nonlinear control systems. As confirmed by the large number of results being published in the literature, fuzzy control systems provide a systematic and efficient approach to the analysis and control of nonlinear processes. However, new techniques and the improvement of current ones are constantly required, fueled by the need for more and more efficient control of nonlinear systems. This special session is supported by the IEEE CIS Task Force on Fuzzy Control Theory and Application.
The aim of this special session is to present the state-of-the-art results in the area of theory and applications of fuzzy control system design and analysis, and to get together well-known and potential researchers in this area, from both the academia and industry. In the proposed special session, the focus is mainly on the fuzzy control system design and analysis with emphasis on the theory and applications. The important problems and difficulties on the fuzzy control systems will be addressed, their concepts will be provided and methodologies will be proposed to take care of the nonlinear systems using the fuzzy control system approaches.
The main topics of this special session include, but are not limited to:
As part of this special session, an ODS is proposed to promote the activities of the IEEE CIS Task Force on Fuzzy Control Theory and Application, as well as to engage a broader discussion with the attendees about the future directions of the Task Force. This will take the form of a mini-panel lead by Kevin Guelton, Zsófia Lendek and Tufan Kumbasar.
To submit your paper see FUZZ-IEEE 2021 Call for Contributions.
Zsófia Lendek received the MSc degree in control engineering from the Technical University of Cluj-Napoca, Romania, in 2003, and the PhD degree from the Delft University of Technology, the Netherlands, in 2009. She is currently a Full Professor at the Technical University of Cluj-Napoca, Romania. Her research interests include observer and controller design for nonlinear systems, in particular Takagi-Sugeno fuzzy systems. Prof. Lendek authored a book published by Springer and more than 100 papers in journals and international conferences. She serves as an Associate Editor for Engineering Applications of Artificial Intelligence and IEEE Transactions on Fuzzy Systems.Tufan Kumbasar received the B.Sc. and M.Sc. and Ph.D. degrees in control and automation engineering from the Istanbul Technical University. He is currently an Associate Professor in the Control and Automation Engineering Department and the director of Artificial Intelligence and Intelligent Systems (AI2S) Laboratory, Faculty of Electrical and Electronics Engineering, Istanbul Technical University. He has currently authored more than 100 papers in international conferences, journals, and books. His major research interests are in computational intelligence, notably type-2 fuzzy logic, fuzzy control, neural networks, evolutionary algorithms, and control theory. He is also interested in robotics, machine learning, intelligent control, and their real-world applications. He has served as a Publication Co-Chair, Panel Session Co-Chair, Special Session Co-Chair, PC, IPC, and TPC in various international and national conferences. Dr. Kumbasar is an Associate Editor for the IEEE Transactions on Fuzzy Systems and an Area Editor for the International Journal of Approximate Reasoning. Dr. Kumbasar received the Best Paper Awards from the IEEE International Conference on Fuzzy Systems in 2015, and from the 6th International Conference on Control Engineering & Information Technology in 2018.
Kevin Guelton received the M.End and M.Sc degrees, both in control engineering, in 2000 from the ENSIAME Engineering School, Valenciennes, France, and the Ph.D. degree in automatic control from the University of Valenciennes and Hainaut-Cambresis, France in 2003. He succeeded the French HDR degree (Dr. Habil.) in automatic control from the University of Reims Champagne-Ardenne (URCA), France, in 2010. From 2003 to 2005, Kevin Guelton was a temporary assistant professor at the ENSIAME and a researcher at the LAMIH UMR CNRS 8201. He moved to the URCA in 2005 as an Associate Professor, then Full Professor (since 2019) in automatic control, where he heads the advanced control team of the ICT Research Center (CReSTIC EA3804). His major field of study includes Takagi-Sugeno and hybrid systems control and observation. Prof. Guelton was the general chair of LFA 2013 and IFAC ICONS 2016, served in the IPC of more than 60 international events. He is an Associate Editor of Engineering Application of Artificial Intelligence, IET Electronics Letters and IFACPapersOnLine. Since 2018, Prof. Guelton is the Chair of the IEEE CIS task force on Fuzzy Control Theory and Its Application. He has been elected, for the triennial 2020-2023, Chair of the IFAC TC 3.2 (computational intelligence in control). Prof. Guelton received the EGC-Application Award in 2016 and the IFAC French NMO service Award in 2018.