Organized by:
Kevin Guelton,
Zsófia Lendek.
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:
To submit your paper see WCCI 2020 Paper Submission or go directly to the Submission site.
Kevin Guelton 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, France, in 2010. From 2003 to 2005, Dr. Guelton was a temporary assistant professor at the ENSIAME and a researcher at the LAMIH UMR CNRS 8201. He has been an Associate Professor (2005-2019) then, since 2019 a Full Professor of automatic control at the University of Reims Champagne-Ardenne and a researcher at the CReSTIC EA 3804, where he nowadays heads the advanced control team. His major field of study includes Takagi-Sugeno and hybrid systems control and observation. Dr. Guelton was the general chair of LFA 2013 and IFAC ICONS 2016, served in the IPC of more than 50 international events. He is an associate editor of Engineering Application of Artificial Intelligence and of IET Electronics Letters. He also serves as vice-chair of the IFAC TC 3.2 (computational intelligence in control) and chair of the IEEE CIS task force on Fuzzy Control Theory and Its Application.
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 associate 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.