Modeling, analysis and control of large-scale systems

Complex networks are dynamical systems where large ensembles of agents interact with each other, giving rise to emergent collective behaviors. Devising and parametrizing descriptive models for these systems is a challenging task, as it requires capturing the key dynamical features of each agent, as well as how they interact with their environment. In my research, I focused on devising and parametrizing models for complex networks in different contexts, enabling the design and validation of control strategies that can orchestrate the collectiv behavior of the population.

Related Publications

• 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.
• 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.