Extended multiple model prediction with application to blood glucose regulation

Journal of Process Control

Volumn 22, Issue 8, 2012, Pages 1422-1432

  Cameron, Fraser ^a   Niemeyer, Günter ^b   Bequette, B Wayne ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b Willow Garage Inc   (United States)

Author keywords

Bayesian approach; Fault detection; Kalman Filter; Multimodel

Indexed keywords

BAYESIAN APPROACHES; BLOOD GLUCOSE; BLOOD GLUCOSE LEVEL; CERTAINTY EQUIVALENCE; COMPUTATIONAL LOADS; DISCRETE TRANSITIONS; FAST ADAPTATIONS; FILTER NOISE; GLUCOSE MONITORS; MULTI-MODEL; MULTIPLE MODELS; PREDICTION ERRORS; PREDICTION UNCERTAINTY; PREDICTIVE CAPABILITIES; PRIOR INFORMATION; PRIOR PROBABILITY; SENSOR NOISE; TIME OF DAY; TYPE 1 DIABETES;

ALGORITHMS; BAYESIAN NETWORKS; BLOOD; FAULT DETECTION; GLUCOSE; KALMAN FILTERS; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; REACTOR CORES; SENSORS;

FORECASTING;

EID: 84865679700     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2012.05.014     Document Type: Article

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