Davide Salzano

According to our database, Davide Salzano authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Robust multi-scale leader-follower control of large multi-agent systems.

Davide Salzano, Gian Carlo Maffettone, Mario di Bernardo

CoRR, March, 2026

Robust Macroscopic Density Control of Heterogeneous Multi-Agent Systems.

Gian Carlo Maffettone, Davide Salzano, Mario di Bernardo

CoRR, February, 2026

Regulating population density through antithetic feedback control of cell growth.

Giovanni Campanile, Vittoria Martinelli, Davide Salzano, Davide Fiore

IFAC J. Syst. Control., 2026

2025

Sparse shepherding control of large-scale multi-agent systems via Reinforcement Learning.

Luigi Catello, Italo Napolitano, Davide Salzano, Mario di Bernardo

CoRR, November, 2025

A bioreactor-based architecture for in vivo model-based and sim-to-real learning control of microbial consortium composition.

Sara Maria Brancato, Davide Salzano, Davide Fiore, Francesco De Lellis, Giovanni Russo, Mario di Bernardo

CoRR, November, 2025

Controlling Complex Systems.

Marco Coraggio, Davide Salzano, Mario di Bernardo

CoRR, April, 2025

In silico analysis of metabolic burden effects on a multicellular integral controller.

Giovanni Campanile, Vittoria Martinelli, Davide Salzano, Davide Fiore, Mario di Bernardo

Eur. J. Control, 2025

Root Contours Guided Design of a Multicellular PID Controller.

Vittoria Martinelli, Davide Fiore, Davide Salzano, Mario di Bernardo

Proceedings of the 33rd Mediterranean Conference on Control and Automation, 2025

2024

In vivo learning-based control of microbial populations density in bioreactors.

Sara Maria Brancato, Davide Salzano, Francesco De Lellis, Davide Fiore, Giovanni Russo, Mario di Bernardo

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Multicellular PD Control in Microbial Consortia.

Vittoria Martinelli, Davide Salzano, Davide Fiore, Mario di Bernardo

IEEE Control. Syst. Lett., 2023

A periodic open-loop strategy to mitigate plant-soil negative feedback.

Nikolaos Karagiannis-Axypolitidis, Davide Salzano, Davide Fiore, Fabrizio Carteni, Stefano Mazzoleni, Mario di Bernardo, Francesco Giannino

Proceedings of the European Control Conference, 2023

External control of a genetic toggle switch via Reinforcement Learning.

Sara Maria Brancato, Francesco De Lellis, Davide Salzano, Giovanni Russo, Mario di Bernardo

Proceedings of the European Control Conference, 2023

2022

Multicellular PI Control for Gene Regulation in Microbial Consortia.

Vittoria Martinelli, Davide Salzano, Davide Fiore, Mario di Bernardo

IEEE Control. Syst. Lett., 2022

2021

Multicellular Feedback Control of a Genetic Toggle-Switch in Microbial Consortia.

Davide Fiore, Davide Salzano, Enric Cristòbal-Cóppulo, Josep M. Olm, Mario di Bernardo

IEEE Control. Syst. Lett., 2021

2019

Ratiometric control of cell populations endowed with synthetic toggle switches.

Davide Salzano, Davide Fiore, Mario di Bernardo

CoRR, 2019

Ratiometric control for differentiation of cell populations endowed with synthetic toggle switches.

Davide Salzano, Davide Fiore, Mario di Bernardo

Proceedings of the 58th IEEE Conference on Decision and Control, 2019