NDLI: Asymptotic output tracking in blood glucose control. A case study

Content Provider	IEEE Xplore Digital Library
Author	Kovacs, L. Szalay, P. Benyo, B. Chase, G.J.
Copyright Year	2011
Description	Author affiliation: Dept. of Mechanical Engineering, Centre for Bio-Engineering, University of Canterbury, Christchurch, New Zealand (Chase, G.J.) \|\| Budapest University of Technology and Economics, Hungary (Szalay, P.) \|\| Dept. of Control Engineering and Information Technology, Budapest University of Technology and Economics, 1117 Hungary (Kovacs, L.; Benyo, B.)
Abstract	Glucose is the primary source of energy for the human body. Keeping the blood glucose level between certain thresholds is essential for the proper energy transport. Insulin plays a key role in maintaining the glucose homeostasis. Because of its great importance, many models were published on either to describe the glucose-insulin interaction in case of patients under Intensive Care Unit (ICU), or to model Type 1 Diabetes Mellitus (T1DM). Currently for most of the models linear control concepts are used in order to design an appropriate controller. The aim of the current paper is to investigate applicability of nonlinear control theory providing exact mathematical background in the control problem of glucose-insulin interaction. Both ICU and T1DM cases are analyzed on well-known models with different complexity. Our aim is to hide the nonlinearity of the models by transforming the input signal so that the response of the model would mimic the behavior of a linear system; hence extending the validity of linear controllers. The asymptotic tracking problem needs the value of the state variables; therefore extended Kalman-filter is applied. The capabilities of this approach are examined through classical control algorithms and input data recorded in clinical environment.
Starting Page	59
Ending Page	64
File Size	353325
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6161400
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sugar Insulin Biological system modeling Degradation Insulation life Mathematical model Linear systems
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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