Linear Quadratic Gaussian-Based Closed-Loop Control of Type 1 Diabetes-Reference-Cited by-同舟云学术

Linear Quadratic Gaussian-Based Closed-Loop Control of Type 1 Diabetes

Published:2007-11 Issue:6 Volume:1 Page:834-841
ISSN:1932-2968
Container-title:Journal of Diabetes Science and Technology
language:en
Short-container-title:J Diabetes Sci Technol

Author:

Patek Stephen D.¹,Breton Marc D.²,Chen Yuanda¹,Solomon Chad¹,Kovatchev Boris²

Affiliation:

1. Department of Systems and Information Engineering, University of Virginia, Charlottesville, Virginia

2. Department of Psychiatry and Neurobehavioral Science, University of Virginia, Charlottesville, Virginia

Abstract

Background: We investigated the applicability of linear quadratic Gaussian (LQG) methodology to the subcutaneous blood glucose regulation problem. We designed an LQG-based feedback control algorithm using linearization of a previously published metabolic model of type 1 diabetes. A key feature of the controller is a Kalman filter used to estimate metabolic states of the patient based on continuous glucose monitoring. Insulin infusion is computed from linear quadratic regulator feedback gains applied to these estimates, generally seeking to minimize squared deviations from a target glucose concentration and basal insulin rate. We evaluated in silico subject-specific LQG control and compared it to preexisting proportional-integral-derivative control.

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

http://journals.sagepub.com/doi/pdf/10.1177/193229680700100606

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