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Design of Blind Robust Estimator for Smart Sensors

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Advances in Computational Intelligence (MICAI 2017)

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Abstract

Efficient implementation of low cost transducers for industrial applications requires smart sensor with embedded accurate and blind filtering algorithms. In this paper an iterative, blind, and unbiased finite impulse response (UFIR) filter having prediction capabilities is proposed as an alternative to the Kalman filter (KF) for smart sensors design. The robustness of the UFIR filter is proved analytically. The predictive properties of UFIR filter allow getting a high accuracy and precision when measurements are provided with missing data, which is demonstrated based on a short-time and long-time temperature probing.

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Author information

Authors and Affiliations

  1. Universidad de Guanajuato, 36885, Salamanca, Mexico

    Miguel Vazquez-Olguin, Yuriy S. Shmaliy & Oscar Ibarra-Manzano

  2. Universidad Veracruzana, 93390, Poza Rica, Mexico

    Luis Javier Morales-Mendoza

Authors
  1. Miguel Vazquez-Olguin
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  2. Yuriy S. Shmaliy
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  3. Oscar Ibarra-Manzano
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  4. Luis Javier Morales-Mendoza
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Corresponding author

Correspondence to Yuriy S. Shmaliy .

Editor information

Editors and Affiliations

  1. Universidad Autónoma del Estado de Hidalgo, Pachuca, Mexico

    Félix Castro

  2. INFOTEC Aguascalientes, Aguascalientes, Mexico

    Sabino Miranda-Jiménez

  3. Tecnológico de Monterrey, Atizapán de Zaragoza, Mexico

    Miguel González-Mendoza

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Vazquez-Olguin, M., Shmaliy, Y.S., Ibarra-Manzano, O., Morales-Mendoza, L.J. (2018). Design of Blind Robust Estimator for Smart Sensors. In: Castro, F., Miranda-Jiménez, S., González-Mendoza, M. (eds) Advances in Computational Intelligence. MICAI 2017. Lecture Notes in Computer Science(), vol 10633. Springer, Cham. https://doi.org/10.1007/978-3-030-02840-4_29

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  • DOI: https://doi.org/10.1007/978-3-030-02840-4_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02839-8

  • Online ISBN: 978-3-030-02840-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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