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LMI Based Robust Blood Glucose Regulation in Type-1 Diabetes Patient with Daily Multi-meal Ingestion
Abstract This paper illustrates the design of a robust output feedback H ∞ controller for the nonlinear glucose–insulin (GI) process in a type-1 diabetes patient to deliver insulin through intravenous infusion device. The H ∞ design specification have been realized using the concept of linear matrix inequality (LMI) and the LMI approach has been used to quadratically stabilize the GI process via output feedback H ∞ controller. The controller has been designed on the basis of full 19th order linearized state-space model generated from the modified Sorensen’s nonlinear model of GI process. The resulting controller has been tested with the nonlinear patient model (the modified Sorensen’s model) in presence of patient parameter variations and other uncertainty conditions. The performance of the controller was assessed in terms of its ability to track the normoglycemic set point of 81 mg/dl with a typical multi-meal disturbance throughout a day that yields robust performance and noise rejection.
LMI Based Robust Blood Glucose Regulation in Type-1 Diabetes Patient with Daily Multi-meal Ingestion
Abstract This paper illustrates the design of a robust output feedback H ∞ controller for the nonlinear glucose–insulin (GI) process in a type-1 diabetes patient to deliver insulin through intravenous infusion device. The H ∞ design specification have been realized using the concept of linear matrix inequality (LMI) and the LMI approach has been used to quadratically stabilize the GI process via output feedback H ∞ controller. The controller has been designed on the basis of full 19th order linearized state-space model generated from the modified Sorensen’s nonlinear model of GI process. The resulting controller has been tested with the nonlinear patient model (the modified Sorensen’s model) in presence of patient parameter variations and other uncertainty conditions. The performance of the controller was assessed in terms of its ability to track the normoglycemic set point of 81 mg/dl with a typical multi-meal disturbance throughout a day that yields robust performance and noise rejection.
LMI Based Robust Blood Glucose Regulation in Type-1 Diabetes Patient with Daily Multi-meal Ingestion
Mandal, S. (Autor:in) / Bhattacharjee, A. (Autor:in) / Sutradhar, A. (Autor:in)
Journal of The Institution of Engineers (India): Series B ; 95 ; 121-128
01.04.2014
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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