Nicola Licini

According to our database, Nicola Licini authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

A robust tube-based MPC approach for safer insulin dosing.

Nicola Licini, Marcelo Alves dos Santos, Fabio Previdi, Antonio Ferramosca

IFAC J. Syst. Control., 2026

Knowledge-guided recurrent neural networks for glucose-insulin dynamics modeling.

Stefano De Carli, Nicola Licini, Davide Previtali, Fabio Previdi, Antonio Ferramosca

IFAC J. Syst. Control., 2026

Stable Compartmental Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling in the Artificial Pancreas Framework.

Stefano De Carli, Nicola Licini, Davide Previtali, Fabio Previdi, Antonio Ferramosca

IEEE Control. Syst. Lett., 2026

2025

Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling.

Stefano De Carli, Nicola Licini, Davide Previtali, Fabio Previdi, Antonio Ferramosca

CoRR, March, 2025

Optimized carbohydrate suggestions and insulin dosing in Artificial Pancreas: dual-action Pulsatile Zone MPC with non-standard IOB constraints for physical activity management.

Nicola Licini, Beatrice Sonzogni, Pablo Abuin, Fabio Previdi, Alejandro H. González, Antonio Ferramosca

Proceedings of the 2025 European Control Conference, 2025

Insulin Sensitivity Management in Artificial Pancreas: a Switching Control Strategy Approach - An In Silico Study.

M. S. Cavallo, Nicola Licini, Fabio Previdi, Antonio Ferramosca

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

A novel dynamic modeling of Insulin Sensitivity in the Blood Glucose Minimal Model.

Nicola Licini, Beatrice Sonzogni, Pablo Abuin, Fabio Previdi, Alejandro H. González, Antonio Ferramosca

Proceedings of the 2025 American Control Conference, 2025

2024

Artificial Pancreas under stable pulsatile Model Predictive Control: including the Physical Activity effect.

Nicola Licini, Beatrice Sonzogni, Pablo Abuin, Fabio Previdi, Alejandro H. González, Antonio Ferramosca

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024