Plenary lecture 2: approaches to fuzzy modeling and control of dynamic processes
Eliezer Colina-Morles · Computational intelligence · 2010
This talk includes some empirical approaches to fuzzy modeling of physical processes, based on input-output variables measurements. These models may be used to design fuzzy controllers in some feedback control configurations. There will be a reference to the use of fuzzy clustering techniques, such as Gustafson-Kessel and C-means algorithms for constructing Takagi-Sugeno fuzzy type models as well as fuzzy invertible singleton type models, which are appropriated controllers in the Internal Model Control scheme. The talk also includes some considerations on the design of controllers with fixed and mobile set points for the regulation of some uncertain dynamical systems.