Resumo

HERRERA FERNANDEZ, Francisco; KERRE, Etienne E.  e  MARTINEZ JIMENEZ, Boris L.. A global fuzzy model for non linear systems using interval valued fuzzy sets. EAC [online]. 2016, vol.37, n.3, pp.50-57. ISSN 1815-5928.

This paper investigates the behavior of the fuzzy set in the antecedents of the Takagi Sugeno fuzzy model in identification of non linear and time variant systems. Data-driven techniques are applied by considering that measurement data are available. The principal question to solve in this paper is related with the representation of this kind of systems applying the concept of interval-valued fuzzy set. An overall model includes explicitly the nonlinear or time variant behavior of the system being identified by means of this concept using Takagi Sugeno fuzzy models. The determination of the nonlinear parameters of the antecedents is a central point in this modeling for time variant and nonlinear systems, because of the characteristics of these parameters. An illustrative experiment on a hybrid-tank system is conducted to present the benefits of the proposed approach.

Palavras-chave : Interval-valued fuzzy set; fuzzy identification; Takagi-Sugeno fuzzy model.

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