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Identification of Continuous Systems – Practical Issues of Insensitivity to Perturbations

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Advanced Solutions in Diagnostics and Fault Tolerant Control (DPS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 635))

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Abstract

In this paper the issue of continuous systems estimation, insensitive to certain perturbations, is presented and discussed. Such an approach has rational advantages, especially when robust schemes are used to assist a target system responsible for industrial diagnostics. This requires that estimated model parameters are generated on-line, and their values are reliable and to a great extent accurate. Practical hints are suggested to challenge the consistency problem of estimates. Namely, the technique of instrumental variables can improve the asymptotic behavior of estimators. With a weighting mechanism, in turn, tracking the time-varying parameters of non-stationary processes is realistic. Yet, evident insensitivity to destructive outliers in the measurement data is guaranteed by the applied estimation routine in the sense of the least sum of absolute errors. Finally, premises for a proper selection of persistently exciting input signals, as well as the directions of further research are summarized in the paper.

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Authors and Affiliations

  1. Department of Robotics and Decision Systems, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland

    Janusz Kozłowski & Zdzisław Kowalczuk

Authors
  1. Janusz Kozłowski
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  2. Zdzisław Kowalczuk
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Corresponding author

Correspondence to Janusz Kozłowski .

Editor information

Editors and Affiliations

  1. Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland

    Jan M. Kościelny

  2. Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland

    Michał Syfert

  3. Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland

    Anna Sztyber

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Kozłowski, J., Kowalczuk, Z. (2018). Identification of Continuous Systems – Practical Issues of Insensitivity to Perturbations. In: Kościelny, J., Syfert, M., Sztyber, A. (eds) Advanced Solutions in Diagnostics and Fault Tolerant Control. DPS 2017. Advances in Intelligent Systems and Computing, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-319-64474-5_15

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  • DOI: https://doi.org/10.1007/978-3-319-64474-5_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64473-8

  • Online ISBN: 978-3-319-64474-5

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