activity
20242026
collaborators

5 papers

math.OC2026

Safe Leader-Follower Density Control via Higher-Order Mean-Field Control Barrier Functions

Cinzia Tomaselli, Mario di Bernardo

Mean-field control barrier functions (MF-CBFs) enforce safety of large-scale multi-agent systems at the level of densities, but existing formulations require the control to act dir…

eess.SY2026

Multi-robot obstacle-aware shepherding of non-cohesive target agents

Cinzia Tomaselli, Stefano Covone, Andreagiovanni Reina +1

This paper presents a novel control strategy for multi-agent shepherding of non-cohesive targets in obstacle-rich environments. Unlike previous approaches that assume cohesive floc…

eess.SY2026

Mean-field control barrier functions for stochastic multi-agent systems

Cinzia Tomaselli, Gian Carlo Maffettone, Samy Wu Fung +2

Many applications involving multi-agent systems require fulfilling safety constraints. Control barrier functions offer a systematic framework to enforce forward invariance of safet…

eess.SY2025

Decentralized Shepherding of Non-Cohesive Swarms Through Cluttered Environments via Deep Reinforcement Learning

Cristiana Punzo, Italo Napolitano, Cinzia Tomaselli +1

This paper investigates decentralized shepherding in cluttered environments, where a limited number of herders must guide a larger group of non-cohesive, diffusive targets toward a…

nlin.CD2024

Taming Cluster Synchronization

Cinzia Tomaselli, Lucia Valentina Gambuzza, Gui-Quan Sun +2

Synchronization is a widespread phenomenon observed across natural and artificial networked systems. It often manifests itself by clusters of units exhibiting coincident dynamics.…