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Advanced Approach for Observability of Distributed Systems Using Internal Pointwise Sensor

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Applied Computational Intelligence and Mathematical Methods (CoMeSySo 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 662))

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Abstract

This paper will serve as a basic introduction to the observability of diffusion process as an example of distributed parameter systems. The aim of this research is to reconstruct initial state not well known \(x_{0}\), which is known in certain subregions and unknown in others, and to give important results related to internal pointwise sensor in different geometrical situations. Many applications are investigated whether in one-dimensional case or two-dimensional one.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, École Nationale Supérieure de Mines de Rabat, Rabat, Morocco

    Amine Bouaine

  2. Department of Mathematics and Computer Science, Faculty of Sciences Ben M’sik, Hassan II University, Casablanca, Morocco

    Amine Bouaine & Mostafa Rachik

Authors
  1. Amine Bouaine
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  2. Mostafa Rachik
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Corresponding author

Correspondence to Amine Bouaine .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Bouaine, A., Rachik, M. (2018). Advanced Approach for Observability of Distributed Systems Using Internal Pointwise Sensor. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Applied Computational Intelligence and Mathematical Methods. CoMeSySo 2017. Advances in Intelligent Systems and Computing, vol 662. Springer, Cham. https://doi.org/10.1007/978-3-319-67621-0_27

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  • DOI: https://doi.org/10.1007/978-3-319-67621-0_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67620-3

  • Online ISBN: 978-3-319-67621-0

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