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Artículo

Linear parameter-varying model to design control laws for an artificial pancreas

Colmegna, Patricio HernánIcon ; Sanchez Peña, Ricardo SalvadorIcon ; Gondhalekar, R.
Fecha de publicación: 02/2018
Editorial: Elsevier
Revista: Biomedical Signal Processing and Control
ISSN: 1746-8094
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Sistemas de Automatización y Control

Resumen

The contribution of this work is the generation of a control-oriented model for insulin-glucose dynamic regulation in type 1 diabetes mellitus (T1DM). The novelty of this model is that it includes the time-varying nature, and the inter-patient variability of the glucose-control problem. In addition, the model is well suited for well-known and standard controller synthesis procedures. The outcome is an average linear parameter-varying (LPV) model that captures the dynamics from the insulin delivery input to the glucose concentration output constructed based on the UVA/Padova metabolic simulator. Finally, a system-oriented reinterpretation of the classical ad-hoc 1800 rule is applied to adapt the model's gain. The effectiveness of this approach is quantified both in open- and closed-loop. The first one by computing the root mean square error (RMSE) between the glucose deviation predicted by the proposed model and the UVA/Padova one. The second measure is determined by using the ν-gap as a metric to determine distance, in terms of closed-loop performance, between both models. For comparison purposes, both open- (RMSE) and closed-loop (ν-gap metric) quality indicators are also computed for other control-oriented models previously presented. This model allows the design of LPV controllers in a straightforward way, considering its affine dependence on the time-varying parameter, which can be computed in real-time. Illustrative simulations are included. In addition, the presented modeling strategy was employed in the design of an artificial pancreas (AP) control law that successfully withstood rigorous testing using the UVA/Padova simulator, and that was subsequently deployed in a clinical trial campaign where five adults remained in closed-loop for 36 h. This was the first ever fully closed-loop clinical AP trial in Argentina, and the modeling strategy presented here is considered instrumental in resulting in a very successful clinical outcome.
Palabras clave: ARTIFICIAL PANCREAS , CONTROLLER SYNTHESIS , LPV MODEL , TYPE 1 DIABETES , Ν-GAP METRIC
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/99251
URL: https://www.sciencedirect.com/science/article/pii/S1746809417302306
DOI: http://dx.doi.org/10.1016/j.bspc.2017.09.021
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Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Citación
Colmegna, Patricio Hernán; Sanchez Peña, Ricardo Salvador; Gondhalekar, R.; Linear parameter-varying model to design control laws for an artificial pancreas; Elsevier; Biomedical Signal Processing and Control; 40; 2-2018; 204-213
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