Identification of fuzzy models

Easter Tan (1) , Gilles Mourot (1) , Didier Maquin (1) , José Ragot (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

The objective of this work is to describe a numerical technique to identify parameters of a fuzzy model. When this model and the membership functions of the input variables are continuously differentiable, we show that the estimation of parameters can be performed with a two-levels hierarchical algorithm, comprising the estimation of the model parameters and the estimation of the membership functions parameters. The proposed algorithm is then applied to an example describing a non-linear system

Keywords: Fuzzy model; identification; parameter estimation

Domains: Automatic

Easter Tan, Gilles Mourot, Didier Maquin, José Ragot. Identification of fuzzy models. Workshop on Fuzzy Technologies in Automation and Intelligent Systems, Apr 1994, Duisburg, Germany. ⟨hal-00310529⟩