Identification of T1DM minimal model using non-consistent data from IVGTT | Zendy

Tomáš Ludwig | Zendy; Ivan Ottinger | Zendy

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Identification of T1DM minimal model using non-consistent data from IVGTT

Author(s) -

Tomáš Ludwig,

Ivan Ottinger

Publication year - 2014

Publication title -

journal of electrical systems and information technology

Language(s) - English

Resource type - Journals

ISSN - 2314-7172

DOI - 10.1016/j.jesit.2014.07.002

Subject(s) - pid controller , identification (biology) , control theory (sociology) , controller (irrigation) , type 1 diabetes , derivative (finance) , mathematics , medicine , diabetes mellitus , computer science , control (management) , engineering , endocrinology , control engineering , economics , artificial intelligence , biology , temperature control , agronomy , botany , financial economics

Type 1 diabetes mellitus identification using inconsistent data from IVGTT (Intravenous Glucose Tolerance Test) of healthy subject is presented in this paper. Simple PID (Proportional – Integral – Derivative) controller is applied to the identified minimal model to maintain normoglycemia

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