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...
Main Authors: | Martin Dodek, Eva Miklovicova, Marian Tarnik |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9912406/ |
Similar Items
-
Robust Online Correlation Method for Identification of a Nonparametric Model of Type 1 Diabetes
by: Martin Dodek, et al.
Published: (2024-01-01) -
Relative efficiency of RAS versus least square methods of updating input-output structures, as adjudged by application to Irish data /
by: 343643 Henry, E. W. -
Extended Recursive Three-Step Filter for Linear Discrete-Time Systems with Dual-Unknown Inputs
by: Shigui Dong, et al.
Published: (2023-07-01) -
Improved Square-Root Cubature Kalman Filtering Algorithm for Nonlinear Systems with Dual Unknown Inputs
by: Zihao Lu, et al.
Published: (2023-12-01) -
Introduction to nonparametric estimation /
by: 458696 Tsybakov, Alexandre B.
Published: (2009)