collaborators

9 papers

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

Leader-Follower Density Control of Multi-Agent Systems with Interacting Followers: Feasibility and Convergence Analysis

Beniamino Di Lorenzo, Gian Carlo Maffettone, Mario di Bernardo

We address density control problems for large-scale multi-agent systems in leader-follower settings, where a group of controllable leaders must steer a population of followers towa…

eess.SY2026

Complex-Valued Kuramoto Networks: A Unified Control-Theoretic Framework

Lorenzo Giordano, Josep M. Olm, Mario di Bernardo

Synchronization in networks of coupled oscillators is classically studied via the Kuramoto model, whose intrinsic nonlinearity limits analytical tractability and complicates contro…

eess.SY2026

Multi-Scale Control of Large Agent Populations: From Density Dynamics to Individual Actuation

Mario di Bernardo

We review a body of recent work by the author and collaborators on controlling the spatial organisation of large agent populations across multiple scales. A central theme is the sy…

eess.SY2026

Multicellular Feedback Control Strategies in Synthetic Microbial Consortia: From Embedded to Distributed Control

Mario di Bernardo

Living organisms rely on endogenous feedback mechanisms to maintain homeostasis in the presence of uncertainty and environmental fluctuations. An emerging challenge at the interfac…

eess.SY2026

Robust Macroscopic Density Control of Heterogeneous Multi-Agent Systems

Gian Carlo Maffettone, Davide Salzano, Mario di Bernardo

Modern applications, such as orchestrating the collective behavior of robotic swarms or traffic flows, require the coordination of large groups of agents evolving in unstructured e…