An approach for dynamical adaptive fuzzy modeling
Mariela Cerrada, José Aguilar, Eliezer Colina-Morles, André Titli · 2003
In this work, an approach for the development of adaptive fuzzy models is presented. The approach allows to incorporate the system dynamics into the fuzzy membership functions which are defined in terms of a dynamic function with adjustable parameters. These parameters are adapted using a gradient descent based algorithm. Some application examples to illustrate the performance of the dynamical adaptive fuzzy models on system identification are presented.