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Comparison of several data-driven non-linear system identification methods on a simplified glucoregulatory system example
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Marconato, A., Schoukens, M., Tiels, K., Widanage, Widanalage Dhammika, Abu-Rmileh, A. and Schoukens, Johan (2014) Comparison of several data-driven non-linear system identification methods on a simplified glucoregulatory system example. IET Control Theory and Applications, 8 (17). pp. 1921-1930. doi:10.1049/iet-cta.2014.0534 ISSN 1751-8644.
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Official URL: http://dx.doi.org/10.1049/iet-cta.2014.0534
Abstract
In this study, several advanced data-driven non-linear identification techniques are compared on a specific problem: a simplified glucoregulatory system modelling example. This problem represents a challenge in the development of an artificial pancreas for Type 1 diabetes mellitus treatment, since for this application good non-linear models are needed to design accurate closed-loop controllers to regulate the glucose level in the blood. Block-oriented as well as state-space models are used to describe both the dynamics and the non-linear behaviour of the insulin–glucose system, and the advantages and drawbacks of each method are pointed out. The obtained non-linear models are accurate in simulating the patient's behaviour, and some of them are also sufficiently simple to be considered in the implementation of a model-based controller to develop the artificial pancreas.
Item Type: | Journal Article | ||||||||||||||||||
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Subjects: | Q Science > QA Mathematics > QA75 (Please use QA76 Electronic Computers. Computer Science) R Medicine > RC Internal medicine |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||||||||||
Library of Congress Subject Headings (LCSH): | System identification -- Research, Nonlinear theories, Drug delivery systems -- Mathematical models, Diabetes -- Treatment | ||||||||||||||||||
Journal or Publication Title: | IET Control Theory and Applications | ||||||||||||||||||
Publisher: | Institution of Engineering and Technology | ||||||||||||||||||
ISSN: | 1751-8644 | ||||||||||||||||||
Official Date: | 2014 | ||||||||||||||||||
Dates: |
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Volume: | 8 | ||||||||||||||||||
Number: | 17 | ||||||||||||||||||
Page Range: | pp. 1921-1930 | ||||||||||||||||||
DOI: | 10.1049/iet-cta.2014.0534 | ||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||
Publication Status: | Published | ||||||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||||||||||
RIOXX Funder/Project Grant: |
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