Nonlinear Model Predictive Control and System Identification for a Dual-hormone Artificial Pancreas

In this work, we present a switching nonlinear model predictive control (NMPC) algorithm for a dual-hormone artificial pancreas (AP), and we use maximum likelihood estimation (MLE) to identify model parameters. A dual-hormone AP consists of a continuous glucose monitor (CGM), a control algorithm, an...

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Hauptverfasser:	Reenberg, Asbjørn Thode, Ritschel, Tobias K. S, Lindkvist, Emilie B, Laugesen, Christian, Svensson, Jannet, Ranjan, Ajenthen G, Nørgaard, Kirsten, Jørgensen, John Bagterp
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Systems and Control Mathematics - Optimization and Control
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