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Parameter identification and state estimation for a diabetic glucose‐insulin model via an adaptive observer
dc.rights.license | open | en_US |
dc.contributor.author | FRANCO, Roberto | |
dc.contributor.author | RÍOS, Héctor | |
dc.contributor.author | FERREIRA DE LOZA, Alejandra | |
hal.structure.identifier | Laboratoire de l'intégration, du matériau au système [IMS] | |
dc.contributor.author | CASSANY, Louis | |
hal.structure.identifier | Laboratoire de l'intégration, du matériau au système [IMS] | |
dc.contributor.author | GUCIK-DERIGNY, David
IDREF: 167345648 | |
hal.structure.identifier | Laboratoire de l'intégration, du matériau au système [IMS] | |
dc.contributor.author | CIESLAK, Jérôme | |
hal.structure.identifier | Laboratoire de l'intégration, du matériau au système [IMS] | |
dc.contributor.author | HENRY, David
IDREF: 225823462 | |
dc.date.accessioned | 2022-07-13T08:49:52Z | |
dc.date.available | 2022-07-13T08:49:52Z | |
dc.date.issued | 2022-01 | |
dc.identifier.issn | 1049-8923 | en_US |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/140466 | |
dc.description.abstractEn | In this article, an adaptive observer is designed for patients with Type 1 DiabetesMellitus.The adaptive observer, synthesized using the so-called Bergman’sMinimal Model, simultaneously estimates the states and the parameter correspondingto the insulin-independent glucose disappearance rate. The adaptiveobserver dealswith parameter uncertainties,whereas the food intake is regardedas an external disturbance. The adaptive observer relies on intravenous glucosemeasurements. The state estimation error converges to a neighborhood of theorigin despite the effects of the external disturbances and uncertainties, whilethe parameter estimation error converges in a fixed time to a neighborhood of theorigin. The adaptive observer synthesis is given by a constructive method basedon linear matrix inequalities. Simulation results show the feasibility of the proposedscheme. Moreover, the approach is validated in UVA/Padova metabolicsimulator for ten in silico adult patients. | |
dc.description.sponsorship | Capteurs bio-électroniques intégrant l'algorithme des îlots pour le contrôle de la glycémie en boucle ouverte et fermée - ANR-18-CE17-0005 | en_US |
dc.language.iso | EN | en_US |
dc.subject.en | Adaptive observers | |
dc.subject.en | Diabetes Mellitus | |
dc.subject.en | Sliding Mode | |
dc.title.en | Parameter identification and state estimation for a diabetic glucose‐insulin model via an adaptive observer | |
dc.type | Article de revue | en_US |
dc.identifier.doi | 10.1002/rnc.6030 | en_US |
dc.subject.hal | Informatique [cs]/Automatique | en_US |
dc.subject.hal | Sciences du Vivant [q-bio]/Médecine humaine et pathologie/Endocrinologie et métabolisme | en_US |
bordeaux.journal | International Journal of Robust and Nonlinear Control | en_US |
bordeaux.hal.laboratories | Laboratoire d’Intégration du Matériau au Système (IMS) - UMR 5218 | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | Bordeaux INP | en_US |
bordeaux.institution | CNRS | en_US |
bordeaux.peerReviewed | oui | en_US |
bordeaux.inpress | non | en_US |
bordeaux.import.source | hal | |
hal.identifier | hal-03543128 | |
hal.version | 1 | |
hal.export | false | |
workflow.import.source | hal | |
dc.rights.cc | Pas de Licence CC | en_US |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Robust%20and%20Nonlinear%20Control&rft.date=2022-01&rft.eissn=1049-8923&rft.issn=1049-8923&rft.au=FRANCO,%20Roberto&R%C3%8DOS,%20H%C3%A9ctor&FERREIRA%20DE%20LOZA,%20Alejandra&CASSANY,%20Louis&GUCIK-DERIGNY,%20David&rft.genre=article |
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