This clinical trial is a study to assess the performance of an automated glucose control system (Artificial Pancreas, AP) device in home settings for subjects with type 1 diabetes. Specifically, the investigators will test zone model predictive control AP that will be enhanced by run-to-run optimizations of basal rates (BR) and insulin to carbohydrate ratios (CR). This protocol builds on the investigators previously validated Zone-MPC and Health Monitoring System (HMS) algorithms (ClinicalTrials.gov: NCT01929798) integrated into the Diabetes Assistant (DiAs) system (ClinicalTrials.gov: NCT02463682). The same AP system used in NCT02463682 will now be used with algorithmic adjustment of CR's prior to closed-loop initiation, and continued BR and CR algorithmic optimization during closed-loop use for a longer duration.