Time-varying non-linear system identification using dynamical adaptive fuzzy systems

  • M. Cerrada Universidad de Los Andes-Venezuela
  • J. Aguilar Universidad de Los Andes-Venezuela
  • E. Colina Universidad de Los Andes-Venezuela
  • A. Titli Laboratoire d”™Analysis et d”™Architecture de Syst í¨mes (LAAS-CNRS)-Francia

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.

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How to Cite
Cerrada, M., Aguilar, J., Colina, E. and Titli, A. (1) “Time-varying non-linear system identification using dynamical adaptive fuzzy systems”, Revista Técnica de la Facultad de Ingeniería. Universidad del Zulia, 25(3). Available at: https://www.produccioncientificaluz.org/index.php/tecnica/article/view/5788 (Accessed: 18May2024).
Issue
Vol. 25 No. 3
Section
Review paper

 

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