The Unscented Kalman Filter as a Real-Time Algorithm to Simultaneously Estimate Insulin and Model Parameters-Reference-Cited by-同舟云学术

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The Unscented Kalman Filter as a Real-Time Algorithm to Simultaneously Estimate Insulin and Model Parameters

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
language:
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Author:

Murata Masaya¹,Palumbo Pasquale²

Affiliation:

1. Japan Aerospace Exploration Agency,Tsukuba-shi, Ibaraki,Japan,305-8505

2. University of Milano Bicocca, Italy, and with SYSBIO-ISBE,Department of Biotechnology and Biosciences,Milan,Italy,20126

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992731.pdf?arnumber=9992731

Reference19 articles.

1. Luenberger-Like Observers for Nonlinear Time-Delay Systems with Application to the Artificial Pancreas: The Attainment of Good Performance

2. Effect of Model, Observer and Their Interaction on State and Disturbance Estimation in Artificial Pancreas: An In-Silico Study

3. Time-Delay Model-Based Control of the Glucose–Insulin System, by Means of a State Observer

4. Periodic-Zone Model Predictive Control for Diurnal Closed-Loop Operation of an Artificial Pancreas

Cited by 1 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. Hot Corrosion Monitoring in Boilers Using a Nonlinear Estimator and Electrochemical Noise-Based Corrosion Sensors;Industrial & Engineering Chemistry Research;2023-12-18

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