FUZZ-IEEE-29 Recent Advances in Fuzzy Control System Design and Analysis

Organized by: Jun Yoneyama, Zsófia Lendek.

Aim and scope

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. Fuzzy control system design and analysis provide a systematic and efficient approach to controlling of nonlinear plants and analysis of nonlinear control systems. Fuzzy control system has been employed to deal with a wide range of nonlinear control systems. A number of results on this area have appeared in the literature. However, there is still room for improvement of the existing results in order to propose new techniques for control of nonlinear systems.

In this 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:

Important dates

To submit your paper see WCCI 2016 Paper Submission or go directly to the Submission site.

About the organizers

Jun Yoneyama received the B.Eng. and M.Eng. degrees from the Department of Electrical Engineering, Waseda University. He received Ph.D. degree from the Department of Electrical Engineering, University of California, Los Angeles, 1996. In 1996, he joined the Department of Electrical and Electronic Engineering in Shizuoka University, Japan. In 2000, he joined as an Associate Professor in Aoyama Gakuin University and is currently a Full Professor. His current research interests include robust control and intelligent control systems. He now serves as a leader for task force team: Fuzzy Control Theory and Its Application in IEEE Computational Intelligence Society.

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.