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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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 apparent effect on the glucose concentration and so can be more easily compensated. The adaptive controller is based on generalized predictive control techniques and also includes rules for changing controller parameters or structure based on the values of physiological variables. Simulation studies and clinical studies are reported to illustrate the performance of the techniques presented.Authors and Affiliations
About the authors
 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.  Â
Bibliographic Information
Book Title: Advances in Artificial Pancreas Systems
Book Subtitle: Adaptive and Multivariable Predictive Control
Authors: Ali Cinar, Kamuran Turksoy
Series Title: SpringerBriefs in Bioengineering
DOI: https://doi.org/10.1007/978-3-319-72245-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2018
Softcover ISBN: 978-3-319-72244-3Published: 13 March 2018
eBook ISBN: 978-3-319-72245-0Published: 01 March 2018
Series ISSN: 2193-097X
Series E-ISSN: 2193-0988
Edition Number: 1
Number of Pages: XII, 119
Number of Illustrations: 13 b/w illustrations, 9 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Control and Systems Theory, Endocrinology