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Revista Técnica de la Facultad de Ingeniería Universidad del Zulia
Print version ISSN 0254-0770
Abstract
CERRADA, M.; AGUILAR, J.; COLINA, E. and TITLI, A.. Time-varying non-linear system identification using dynamical adaptive fuzzy systems. Rev. Téc. Ing. Univ. Zulia [online]. 2002, vol.25, n.3, pp.171-180. ISSN 0254-0770.
Abstract 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.
Keywords : System identification; adaptive fuzzy systems; dynamical fuzzy systems; fuzzy logic.












