DYNAMICAL ADAPTIVE FUZZY SYSTEMS: AN APPLICATION ON SYSTEM IDENTIFICATION
J. Aguilar** M. Cerrada*** E. Colina**** A. Titli‡
Universidad de Los Andes, Facultad de Ingeniería
** Departamento de Computación e-mail: aguilar@ing.ula.ve
*** Departamento de Sistemas de Control e-mail: cerradam@ing.ula.ve
**** Postgrado en Automatización y Control e-mail: ecolina@ing.ula.ve A venida Tulio Febres Cordero. T elf: 58-274-2402847 F ax: 58-274-2402846 Mérida 5101. VENEZUELA
‡ Laboratorie dAnalyse et dArchitecture de Systèmes (LAAS-CNRS) Gr oup Automatique Symbolique, e-mail: titli@laas.fr 7, avenue du Colonel Roche-31077. Phone: 33-5-61336200 Fax: 33-5-61553577 Toulouse, Cdex. FRANCE
In order to control the processes, it is required to have a model which describes the process behaviour. Identification techniques provide a representation of a real system based on linguistic or mathematical expressions, or an algorithm. In this work, we use a dynamical adaptive fuzzy model in order to propose fuzzy identifiers. Dynamical adaptive fuzzy models on identification problems permit an adaptive approach through the continuous adaptation of the membership functions on their universes of discourse, taking into account the process behaviour.
Keywords: Identifiers, Identification Algorithms, Fuzzy Modeling, Fuzzy Systems, Fuzzy Models
Session slot T-Fr-A21: Posters of Learning, Stochastic, Fuzzy and Nerural Systems/Area code 3e : Fuzzy and Neural Systems

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