Multivariable adaptive identification and control for artificial pancreas systems

IEEE Transactions on Biomedical Engineering

Volumn 61, Issue 3, 2014, Pages 883-891

  Turksoy, Kamuran ^a   Quinn, Laurie ^b   Littlejohn, Elizabeth ^c   Cinar, Ali ^d  

^a Illinois Institute of Technology   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^c University of Chicago ^*  (United States)

^d IIT RESEARCH INSTITUTE   (United States)

Author keywords

Adaptive control; artificial pancreas (AP); constrained optimization; recursive identification; type 1 diabetes (T1D)

Indexed keywords

ADAPTIVE CONTROL; ARTIFICIAL PANCREAS; BLOOD GLUCOSE CONCENTRATION; GENERALIZED PREDICTIVE CONTROLLERS; PHYSIOLOGICAL INFORMATIONS; RECURSIVE IDENTIFICATION; TYPE 1 DIABETES; WEIGHTED RECURSIVE LEAST SQUARES;

ARTIFICIAL ORGANS; CONSTRAINED OPTIMIZATION; GLUCOSE; PREDICTIVE CONTROL SYSTEMS;

ADAPTIVE CONTROL SYSTEMS;

GLUCOSE; INSULIN;

ADAPTIVE CONTROL STRATEGY; ADAPTIVE SYSTEM IDENTIFICATION; ADULT; ALGORITHM; ARTICLE; ARTIFICIAL PANCREAS; CARBOHYDRATE ANALYSIS; CLINICAL STUDY; COMPUTER MODEL; CONTROL STRATEGY; CONTROL SYSTEM; CONTROLLED STUDY; ENERGY EXPENDITURE; EXERCISE INTENSITY; GLUCOSE BLOOD LEVEL; HUMAN; HYPERGLYCEMIA; HYPOGLYCEMIA; INFORMATION SYSTEM; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN INFUSION; INSULIN RESISTANCE; PHYSICAL ACTIVITY; SIMULATION; SIMULATOR; YOUNG ADULT;

ADOLESCENT; ADULT; BLOOD GLUCOSE; CHILD; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 1; DRUG DELIVERY SYSTEMS; HUMANS; INSULIN; INSULIN INFUSION SYSTEMS; MONITORING, PHYSIOLOGIC; MULTIVARIATE ANALYSIS; PANCREAS, ARTIFICIAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 84896875567     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2291777     Document Type: Article

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