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Integrating MPC with Learning-Based and Adaptive Methods to Enhance Safety, Performance and Reliability in Automated Insulin Delivery
Conference ObjectAbstract: In this work, an adaptive-learning model predictive control (AL-MPC) framework that integrates distuPalabras claves:Adaptive model pbkp_redictive control, Automated insulin delivery, DIABÉTES, Machine learning, Recursive system identificationAutores:Askari M.R., Cinar A., Hajizadeh I., Kumar R., Víctor M. ZavalaFuentes:scopusMultisite supply planning for drug products under uncertainty
ArticleAbstract: In the pharmaceutical industry, the goal of a supply planner is to make efficient capacity allocatioPalabras claves:scheduling, stochastic optimization, supply-chain modeling, UNCERTAINTYAutores:Chiu K., Kumar R., Pushpangatha Kurup R., Sampat A.M., Saucedo V.M., Víctor M. ZavalaFuentes:scopus