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Fuzzy digital filter type III

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Abstract

A digital filter interacts with a reference model signal into a real process in order to obtain the best corresponding answer, having the minimum filter output error using the mean square criterion. A fuzzy mechanism into the filter structure was added obtaining an intelligent filter, selecting and emitting an answer decision according to the external reference signal changes. This is in order to actualize the best correct new conditions updating a dynamic process. The fuzzy filter makes an interpretation of the input signal level to select the best parameter values from a set of membership values into the knowledge base (KB), updating the filter weights giving the approximation answers according to the reference signal. This fuzzy stage improves the filter answers, minimizing the filter error criterion with a classification of its operation levels. The filtering process requires that all answers of the error criteria are probabilistically bounded, considering the Nyquist and Shannon assumptions, having the fuzzy filter simulations using Matlab© tools into the Kalman structure.

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Authors and Affiliations

  1. Mechanical and Electrical Engineering, National Polytechnic Institute, Av. Santa Ana No. 1000, Col. San Francisco Culhuacan, Del. Coyoacan, México D.F.

    Juan C. García Infante & J. Carlos Sánchez García

  2. Centre of Computing Research, National Polytechnic Institute, Vallejo, C.P. 07738, México D.F.

    J. Jesús Medel Juárez

Authors
  1. J. Jesús Medel Juárez
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  2. Juan C. García Infante
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  3. J. Carlos Sánchez García
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Corresponding author

Correspondence to J. Jesús Medel Juárez.

Additional information

Original Russian Text © J. Jesús Medel Juárez, Juan C. García Infante, J. Carlos Sánchez García, 2011, published in Avtomatika i Vychislitel’naya Tekhnika, 2011, No. 2, pp. 70–80.

The article was translated by the authors.

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Jesús Medel Juárez, J., García Infante, J.C. & Carlos Sánchez García, J. Fuzzy digital filter type III. Aut. Conrol Comp. Sci. 45, 113–121 (2011). https://doi.org/10.3103/S0146411611020040

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  • DOI: https://doi.org/10.3103/S0146411611020040

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