SciELO - Scientific Electronic Library Online

 
 issue69Machining process modeling by means of FEM and the use of metamodels with fuzzy logic and linear regressionContextual dynamic of the software requirements elicitation author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Facultad de Ingeniería Universidad de Antioquia

Print version ISSN 0120-6230

Abstract

MEDEL JUAREZ, José de Jesús; GARCIA INFANTE, Juan Carlos  and  DUCHEN SANCHEZ, Gonzalo Isaac. Compound digital filter. Rev.fac.ing.univ. Antioquia [online]. 2013, n.69, pp.24-33. ISSN 0120-6230.

This paper describes the identification by the compound digital filter with two estimators involved in the Kalman filter, the first corresponds to stochastic gradient describing the transition function and the second obtains the innovation process gain through fuzzy logic. The filtering process has time constraints for your response occurring before the reference system changes to another state. The results are formally described throughout the document. Auto-Regressive Moving Averages model was proposed (ARMA (1, 1)) as the reference system. The filtering algorithm was developed in MatLab® software getting the integrated filter operations illustrated with its graphics of convergence and response, concluding with brief an analysis of the results.

Keywords : Digital filters; fuzzy logic; real-time; identification; estimation; signal srocessing.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )