Publications list

Preprints

Martinelli, V., Fiore, Salzano, D. , & di Bernardo, M. (2025). Root Contours Guided Design of a Multicellular PID Controller. Accepted for presentation at the 33rd Mediterranean Conference on Control and Automation.
Campanile, G., Martinelli, V., Salzano, D., & Fiore, D. (2025). Regulating population density through antithetic feedback control of cell growth. bioRxiv, 2025-04.
M. Coraggio, D. Salzano, M. di Bernardo, “Controlling complex systems”, Encyclopedia chapter in Encyclopedia of Systems and Control Engineering, Springer, 2025.
Giusti, A., Salzano, D., di Bernardo, M., & Gorochowski, T. E. (2025). Data-driven inference of digital twins for high-throughput phenotyping of motile and light-responsive microorganisms. bioRxiv, 2025-02.

Campanile, G., Martinelli, V., Salzano, D., Fiore, D., & di Bernardo, M. (2025). In silico analysis of metabolic burden effects on a multicellular integral controller. European Journal of Control, 101322.
Salzano, D., Shannon, B., Grierson, C., Marucci, L., Savery, N. J., & di Bernardo, M. (2025). In Vivo Multicellular Feedback Control in Synthetic Microbial Consortia. ACS Synthetic Biology.
Martinelli, V., Fiore, D., Salzano, D., & di Bernardo, M. (2025). Multicellular PID control for robust regulation of biological processes. Journal of the Royal Society Interface, 22(222), 20240583.

Brancato, S. M., Salzano, D., Fiore, D., Russo, G., & Di Bernardo, M. (2024). Ratiometric control of two microbial populations via a dual chamber bioreactor. IEEE Control Systems Letters, 8, 1301-1306.

Martinelli, V., Salzano, D., Fiore, D., & di Bernardo, M. (2023). Multicellular PD control in microbial consortia. IEEE Control Systems Letters, 7, 2641-2646.
Fusco, V., Salzano, D., Fiore, D., & di Bernardo, M. (2023). Embedded control of cell growth using tunable genetic systems. International Journal of Robust and Nonlinear Control, 33(9), 4893-4907.

Salzano, D., Fiore, D., & di Bernardo, M. (2022). Ratiometric control of cell phenotypes in monostrain microbial consortia. Journal of the Royal Society Interface, 19(192), 20220335.
de Cesare, I., Salzano, D., di Bernardo, M., Renson, L., & Marucci, L. (2022). Control-based continuation: a new approach to prototype synthetic gene networks. ACS synthetic biology, 11(7), 2300-2313.
Martinelli, V., Salzano, D., Fiore, D., & di Bernardo, M. (2022). Multicellular PI control for gene regulation in microbial consortia. IEEE Control Systems Letters, 6, 3373-3378.

Ruolo, I., Napolitano, S., Salzano, D., di Bernardo, M., & di Bernardo, D. (2021). Control engineering meets synthetic biology: Foundations and applications. Current Opinion in Systems Biology, 28, 100397.

Della Rossa, F., Salzano, D., Di Meglio, A., De Lellis, F., Coraggio, M., Calabrese, C., ... & Di Bernardo, M. (2020). A network model of Italy shows that intermittent regional strategies can alleviate the COVID-19 epidemic. Nature communications, 11(1), 5106.
Shannon, B., Zamora-Chimal, C. G., Postiglione, L., Salzano, D., Grierson, C. S., Marucci, L., ... & Di Bernardo, M. (2020). In vivo feedback control of an antithetic molecular-titration motif in escherichia coli using microfluidics. ACS Synthetic Biology, 9(10), 2617-2624.
Fiore, D., Salzano, D., Cristòbal-Cóppulo, E., Olm, J. M., & di Bernardo, M. (2020). Multicellular feedback control of a genetic toggle-switch in microbial consortia. IEEE Control Systems Letters, 5(1), 151-156.
Guarino, A., Fiore, D., Salzano, D., & di Bernardo, M. (2020). Balancing cell populations endowed with a synthetic toggle switch via adaptive pulsatile feedback control. ACS synthetic biology, 9(4), 793-803.

Brancato, S. M., Salzano, D., De Lellis, F., Fiore, D., Russo, G., & di Bernardo, M. (2024, June). In vivo learning-based control of microbial populations density in bioreactors. In 6th Annual Learning for Dynamics & Control Conference (pp. 941-953). PMLR.

Karagiannis-Axypolitidis, N., Salzano, D., Fiore, D., Cartenì, F., Mazzoleni, S., Di Bernardo, M., & Giannino, F. (2023, June). A periodic open-loop strategy to mitigate plant-soil negative feedback. In 2023 European Control Conference (ECC) (pp. 1-6). IEEE.
Brancato, S. M., De Lellis, F., Salzano, D., Russo, G., & Di Bernardo, M. (2023, June). External control of a genetic toggle switch via Reinforcement Learning. 2023 European Control Conference (ECC) (pp. 1-6). IEEE.

Salzano, D., Fiore, D., & di Bernardo, M. (2019, December). Ratiometric control for differentiation of cell populations endowed with synthetic toggle switches. In 2019 IEEE 58th Conference on Decision and Control (CDC) (pp. 927-932). IEEE.