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In processes control, it is required to have a model that describes the process behaviour. Identification techniques provide an approximate representation of the real system behaviour, by using a linguistic or mathematical expression, or an algorithm. In this work, a dynamical adaptive fuzzy model is used in order to propose the input-output identification model of a time-varying non-linear system. This class of fuzzy models permit a generic adaptive approach of the process behaviour through the adaptation of the membership functions to the universes of discourse of the model variables.