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GluNet: A Deep Learning Framework For Accurate Glucose Forecasting (2019)
Journal Article
Li, K., Liu, C., Zhu, T., Herrero, P., & Georgiou, P. (2019). GluNet: A Deep Learning Framework For Accurate Glucose Forecasting. IEEE Journal of Biomedical and Health Informatics, doi:10.1109/jbhi.2019.2931842

For people with Type 1 diabetes (T1D), forecasting of \red{blood glucose (BG)} can be used to effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest continuous glucose monitoring (CGM) technology allows people to obser... Read More

Full‐complexity polytopic robust control invariant sets for uncertain linear discrete‐time systems (2019)
Journal Article
Liu, C., Tahir, F., & Jaimoukha, I. M. (2019). Full‐complexity polytopic robust control invariant sets for uncertain linear discrete‐time systems. International Journal of Robust and Nonlinear Control, 29(11), 3587-3605. doi:10.1002/rnc.4573

This paper presents an algorithm for the computation of full‐complexity polytopic robust control invariant (RCI) sets, and the corresponding linear state‐feedback control law. The proposed scheme can be applied for linear discrete‐time systems subjec... Read More