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Modern close loop control for blood glucose level in a diabetic patient necessarily uses an explicit model of the process. A fixed parameter full order or reduced order model does not characterize the inter-patient and intra-patient parameter variability. This paper deals with a frequency domain nonparametric identification of the nonlinear glucose-insulin process in an insulin dependent diabetes...
This paper deals with a frequency domain kernel estimation problem for modeling a nonlinear dynamic system of multivariable glucose-insulin process in an insulin dependent diabetes mellitus (IDDM) patient. For such a process with uncertainties and parameter variations, the nonparametric models are most useful for closed loop model predictive control. The present work proposes a frequency domain kernel...
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