• DocumentCode
    2056884
  • Title

    On the model identification of an incubator based on genetic algorithms

  • Author

    Miladi, Yosra ; Feki, Moez ; Derbel, Nabil

  • Author_Institution
    Control & Energy Manage. Lab., Univ. of Sfax, Sfax, Tunisia
  • fYear
    2012
  • fDate
    20-23 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The aim of this paper is the modeling of the heating problem inside an incubator for newborns. The considered incubator has been offered by the neonatology center of the Universitary Hospital of Sfax; Tunisia. Two models has been identified. The first one is continuous and the second one is discrete. Parameters of these models have been optimised by genetic algorithms. Because of the non linearity of the model, two phases have been considered: the heating phase for an increasing of the temperature and the cooling phase for a decreasing of the temperature. Obtained models have been validated experimentally.
  • Keywords
    biomedical equipment; genetic algorithms; paediatrics; Tunisia; Universitary Hospital of Sfax; cooling phase; genetic algorithms; heating phase; heating problem; incubator; model identification; neonatology center; newborns; Cooling; Delay; Estimation; Genetic algorithms; Heating; Mathematical model; Temperature measurement; Genetic algorithms; Identification; Modeling; Optimisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Devices (SSD), 2012 9th International Multi-Conference on
  • Conference_Location
    Chemnitz
  • Print_ISBN
    978-1-4673-1590-6
  • Electronic_ISBN
    978-1-4673-1589-0
  • Type

    conf

  • DOI
    10.1109/SSD.2012.6198104
  • Filename
    6198104