Real-Time Model Predictive Control of Human Bodyweight Based on Energy Intake
Real-Time Model Predictive Control of Human Bodyweight Based on Energy Intake
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
The number of overweight people reached 1.9 billion in 2016. Lifespan decrease and many diseases have been linked to obesity. Efficient ways to monitor and control body weight are needed. The objective of this work is to explore the use of a model predictive control approach to manage bodyweight in response to energy intake. The analysis is perform...
Alternative Titles
Full title
Real-Time Model Predictive Control of Human Bodyweight Based on Energy Intake
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TN_cdi_doaj_primary_oai_doaj_org_article_a66b980c809543cda62d2fc143a4e967
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a66b980c809543cda62d2fc143a4e967
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app9132609
