Adaptive system identification for estimating future glucose concentrations and hypoglycemia alarms

DOI10.1016/J.AUTOMATICA.2012.05.076zbMath1267.93173DBLPjournals/automatica/Eren-OrukluCRQ12OpenAlexW1971077396WikidataQ39574039 ScholiaQ39574039MaRDI QIDQ2391501

Lauretta Quinn, Ali Cinar, Derrick K. Rollins, Meriyan Eren-Oruklu

Publication date: 31 July 2013

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3409594

zbMATH Keywords

recursive estimationidentification algorithmsmodeling and identificationparameter and state estimation

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Medical applications (general) (92C50) Identification in stochastic control theory (93E12)

Related Items (1)

Observer-based dynamical pattern recognition via deterministic learning

Cites Work

• Empirical modeling for glucose control in critical care and diabetes
• Gradient-based variable forgetting factor RLS algorithm in time-varying environments

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