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The aim of this special session is to present
the state-of-the-art results in the area
of theory and applications of fuzzy-model-based control design and analysis, and to get together well-known and potential
researchers in this area. Fuzzy- model-based control provides a systematic and efficient approach
to controlling of nonlinear plans and analysis of nonlinear control systems. It has been employed to deal with a wide range of nonlinear control systems
such as continuous-time, discrete-time, hybrid, sampled-data, time-delay,
switching, adaptive control systems and so on. 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 the proposed special session, the focus is mainly on the fuzzy-model-based control systems and analysis with emphasis on the theory and applications. The important problems and difficulties on the fuzzy-model-based control
systems will be addressed, its concepts will be provided and methodologies
will be proposed to take care of the nonlinear systems using the fuzzy-model-based
control approaches.
Keywords:
Fuzzy control systems; Fuzzy model-based control design and analysis;
Fuzzy and neural systems
relevant to control and identification; Robust neural and fuzzy control;
Adaptive neural and fuzzy control; Nonlinear
control.
Topics:
The session organizer:
Jun Yoneyama
Department of Electrical Engineering and
Electronics
Aoyama Gakuin University, Japan
(e-mail: yoneyama@ee.aoyama.ac.jp)
Zsofia Lendek
University of Cluj-Napoca, Romania
(e-mail: zsofia.lendek@aut.utcluj.ro)
Tadanari Taniguchi
Tokai University, Japan
(e-mail: taniguchi@tokai-u.jp)
Kevin Guelton
CReSTIC - University of Reims Champagne-Ardenne, France
(e-mail: kevin.guelton@univ-reims.fr)