Estimation of process noise variances from the measured output sequence with application to the empirical model of type 1 diabetes-Reference-Cited by-同舟云学术

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Estimation of process noise variances from the measured output sequence with application to the empirical model of type 1 diabetes

Published:2023-07 Issue: Volume:84 Page:104773
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Dodek Martin^ORCID,Miklovičová Eva^ORCID

Funder

Ministry of Education

Ministry of Education Science Research and Sport of the Slovak Republic

Vedecká Grantová Agentúra MŠVVaŠ SR a SAV

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference61 articles.

1. A new approach to linear filtering and prediction problems;Kalman;J. Basic Eng. (ASME),1960

2. Optimal Filtering;Anderson,2012

3. Optimal state estimation for the artificial pancreas;Dodek,2022

4. Predictive Control: With Constraints;Maciejowski,2002

5. Predictive Control in Process Engineering;Haber,2011

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving the insulin therapy for diabetic patients using optimal impulsive disturbance rejection: Continuous time approach;Biocybernetics and Biomedical Engineering;2024-04

2. Robust Online Correlation Method for Identification of a Nonparametric Model of Type 1 Diabetes;IEEE Access;2024

3. Predicting the output error of the suboptimal state estimator to improve the performance of the MPC-based artificial pancreas;Control Theory and Technology;2023-05-31

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