Correlation Method for Identification of a Nonparametric Model of Type 1 Diabetes

Correlation Method for Identification of a Nonparametric Model of Type 1 Diabetes

This work describes a novel nonparametric identification method for estimating impulse responses of the general two-input single-output linear system with its target application to the individualization of an empirical model of type 1 diabetes. The proposed algorithm is based on correlation function...

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Bibliographic Details
Main Authors: Martin Dodek, Eva Miklovicova, Marian Tarnik
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Correlation function
generalized least squares method
minimum variance estimate
multiple-input single-output systems
nonparametric model
regularization
Online Access:https://ieeexplore.ieee.org/document/9912406/

Internet

https://ieeexplore.ieee.org/document/9912406/

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