• DocumentCode
    1982473
  • Title

    Control of blood glucose concentration in type-I diabetic patients applying Hamilton Jacobi and Sliding Mode techniques

  • Author

    Robles, R. ; Pea, A. ; Cabrera, A.

  • Author_Institution
    Dept. of Bioelectronics, UPIBI-IPN, Mexico City
  • fYear
    2008
  • fDate
    12-14 Nov. 2008
  • Firstpage
    228
  • Lastpage
    233
  • Abstract
    Approximately 171 million people in the world suffer of diabetes mellitus and it has become an important social problem that has shown to be in continuous growing. For that strong reason it is presented a control description based on Hamilton-Jacobi technique (HJT) and sliding mode approach (SMA) working jointly with a nonlinear observer (NO), carried out with differential neural networks (DNN) and sliding mode approach, the one which has proven to be useful in real medical procedures to expense of the mathematical model that describes the glucose-insulin dynamics is similar to the real insulin patients response. This Hamilton Jacobi and sliding mode control (HJSMC) gives us the exact dosage that ought to be given to a patient with the purpose of maintaining controlled the blood glucose concentration in normal values.
  • Keywords
    Jacobian matrices; blood; medical control systems; medical disorders; neurocontrollers; nonlinear control systems; observers; patient treatment; sugar; variable structure systems; Hamilton Jacobi method; blood glucose concentration control; differential neural network; glucose-insulin dynamics; mathematical model; nonlinear observer; sliding mode control; type-I diabetic patient; Artificial neural networks; Biological system modeling; Blood; Diabetes; Insulin; Jacobian matrices; Neural networks; Sliding mode control; State estimation; Sugar; Diabetes Mellitus; Differential Neural; Hamilton Jacobi and Sliding Mode Control; Network; Neuro-Identifying; Neuro-Observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering, Computing Science and Automatic Control, 2008. CCE 2008. 5th International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    978-1-4244-2498-6
  • Electronic_ISBN
    978-1-4244-2499-3
  • Type

    conf

  • DOI
    10.1109/ICEEE.2008.4723443
  • Filename
    4723443