Davide Previtali

According to our database, Davide Previtali authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

Stability properties of Minimal Gated Unit neural networks.

Stefano De Carli, Davide Previtali, Mirko Mazzoleni, Fabio Previdi

CoRR, March, 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

Chaos-Free Networks Are Stable Recurrent Neural Networks.

Stefano De Carli, Davide Previtali, Mirko Mazzoleni, Fabio Previdi

IEEE Control. Syst. Lett., 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

Are Artificial Neural Networks suitable for data-driven moment matching?

Matteo Scandella, Davide Previtali, Alessio Moreschini

Eur. J. Control, 2025

A virtual sensor fusion approach for state of charge estimation of lithium-ion cells.

Davide Previtali, Daniele Masti, Mirko Mazzoleni, Fabio Previdi

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

Disturbance-rejection-oriented temperature control of shrink tunnels under varying grid voltage.

Davide Previtali, Leandro Pitturelli, Antonio Ferramosca, Fabio Previdi

Proceedings of the 2025 European Control Conference, 2025

Data-driven mixed-sensitivity structured control of SISO multi-model systems with application to a reconfigurable industrial oven.

Davide Previtali, Mirko Mazzoleni, Nicholas Valceschini, Fabio Previdi

Proceedings of the 2025 European Control Conference, 2025

Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective.

Stefano De Carli, Davide Previtali, Leandro Pitturelli, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi

Proceedings of the 2025 European Control Conference, 2025

2024

Towards energy-efficient shrink tunnels by means of Economic Model Predictive Control.

Leandro Pitturelli, Davide Previtali, Antonio Ferramosca, Fabio Previdi

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

GLISp-r: a preference-based optimization algorithm with convergence guarantees.

Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi

Comput. Optim. Appl., September, 2023

2022

A unified surrogate-based scheme for black-box and preference-based optimization.

Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca, Fabio Previdi

CoRR, 2022