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State Estimation of a Dehydration Process by Interval Analysis

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Applied Computer Sciences in Engineering (WEA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 915))

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Abstract

This article presents a general methodology of state estimation by interval analysis in a dynamic system modeled by difference equations. The methodology is applied to a pineapple osmotic dehydration process, in order to predict the behavior of the process within a range of allowed perturbation. The paper presents simulations and validations.

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Authors and Affiliations

  1. Universidad Manuela Beltrán, Bogotá D.C., Colombia

    Carlos Collazos, Carlos Sánchez, Pedro Mariño, Domingo A. Montaño, Iván Ruiz & Alejandra Rojas

  2. Universidad Nacional de Colombia, Bogotá D.C., Colombia

    César A. Collazos & Adriana Maldonado-Franco

  3. Universidad de la Costa, Barranquilla, Colombia

    Farid Meléndez-Pertruz

Authors
  1. Carlos Collazos
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  2. César A. Collazos
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  3. Carlos Sánchez
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  4. Pedro Mariño
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  5. Domingo A. Montaño
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  6. Iván Ruiz
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  7. Farid Meléndez-Pertruz
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  8. Alejandra Rojas
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  9. Adriana Maldonado-Franco
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Corresponding author

Correspondence to Carlos Collazos .

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Editors and Affiliations

  1. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

  2. Industrial Engineering Department, Univ. Distrital Francisco José de Caldas, Bogotá, Colombia

    Eduyn Ramiro López-Santana

  3. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    José Ignacio Rodriguez-Molano

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Collazos, C. et al. (2018). State Estimation of a Dehydration Process by Interval Analysis. In: Figueroa-García, J., López-Santana, E., Rodriguez-Molano, J. (eds) Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-00350-0_6

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  • DOI: https://doi.org/10.1007/978-3-030-00350-0_6

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  • Print ISBN: 978-3-030-00349-4

  • Online ISBN: 978-3-030-00350-0

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