Ali Cinar

Advances in Artificial Pancreas Systems

Adaptive and Multivariable Predictive Control

Ebook (PDF Format)

This brief introduces recursive modeling techniques that take account of variations in blood glucose concentration within and between individuals. It describes their use in developing multivariable models in early-warning systems for hypo- and hyperglycemia; these models are more accurate than those solely reliant on glucose and insulin concentrations because they can accommodate other relevant influences like physical activity, stress and sleep. Such factors also contribute to the accuracy of the adaptive control systems present in the artificial pancreas which is the focus of the brief, as their presence is indicated before they have an app… Mehr

CHF 65.00

Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)

Versandfertig innerhalb 1-3 Werktagen
Versandkostenfrei

Produktdetails

Weitere Autoren: Turksoy, Kamuran

ISBN: 978-3-319-72245-0
EAN: 9783319722450
Produktnummer: 26758115
Verlag: Springer-Verlag GmbH
Sprache: Englisch
Erscheinungsjahr: 2018
Seitenangabe: 119 S.
Plattform: PDF
Masse: 3'322 KB
Auflage: 1st ed. 2018
Abbildungen: 13 schwarz-weiße und 9 farbige Abbildungen, 20 farbige Tabellen, Bibliographie

Über den Autor

Ali Cinar is Professor of Chemical Engineering at the Illinois Institute of Technology. His research concentrates on three areas: modeling, simulation and control of biomedical systems, complex adaptive agent-based systems, and supervision of process operations. His research activities focus on the development of theory, methods, and tools to use in these application areas. He is a Fellow of the AIChE and the author of books on batch fermentation and chemical process performance evaluation. Kamuran Turksoy is a postdoctoral researcher in biomedical engineering at IIT. His research focuses on the development of hypoglycemia early alarm systems, multivariable adaptive control systems and process monitoring, performance assessment, and fault diagnosis techniques for risk mitigation in artificial pancreas systems. He has developed software to implement the methods and algorithms developed, and tested them in simulation and clinical studies.