The Bergman's insulin-glucose regulation model: DNN-state observer

A. Garcia, A. I. Cabrera, A. Poznyak, T. Poznyak

Research output: Contribution to journalConference articlepeer-review

Abstract

The nonlinear Bergman regulation model of insulin-glucose in plasma is analyzed using the modern observability theory. The observability conditions are derived. The glucose concentration measurements in plasma or any its combinations with the others components are shown to provide the observability property, that is, they contain the complete information about the considered state space dynamic model. Because this model has several a priori unknown parameters and the measurable data may have noises, the dynamic neuro state observer is suggested to obtain immeasurable state estimates. Such approach brings the signi...cant advantages with respect to the "insulin doses decision", traditionally used in the normal insulin infusion pumps: it present the opportunity to avoid any active patient actions. The numerical simulations illustrate the effectiveness of the suggested approach.

Original languageEnglish
Pages (from-to)1421-1424
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - 2000
Event22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States
Duration: 23 Jul 200028 Jul 2000

Keywords

  • Dynamic neural network
  • Insuline-glucose regulation model
  • Nonlinear observability analysis

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