activity
20162025
most citedSynchronization of networks of piecewise-smooth systems

22 citations · 66 across the 21 of their papers we have counts for

collaborators

22 papers

eess.SP2025

ROPE: A Novel Method for Real-Time Phase Estimation of Complex Biological Rhythms

Antonio Spallone, Marco Coraggio, Francesco De Lellis +1

Accurate phase estimation -- the process of assigning phase values between and to repetitive or periodic signals -- is a cornerstone in the analysis of oscillatory signals…

eess.SY2025★ 1 cited

Controlling Complex Systems

Marco Coraggio, Davide Salzano, Mario di Bernardo

This chapter provides a comprehensive overview of controlling collective behavior in complex systems comprising large ensembles of interacting dynamical agents. Building upon tradi…

eess.SY2024

Learning-based cognitive architecture for enhancing coordination in human groups

Antonio Grotta, Marco Coraggio, Antonio Spallone +2

As interactions with autonomous agents-ranging from robots in physical settings to avatars in virtual and augmented realities-become more prevalent, developing advanced cognitive a…

eess.SY2024

Data-driven architecture to encode information in the kinematics of robots and artificial avatars

Francesco De Lellis, Marco Coraggio, Nathan C. Foster +3

We present a data-driven control architecture for modifying the kinematics of robots and artificial avatars to encode specific information such as the presence or not of an emotion…

eess.SY2023

Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning

Francesco De Lellis, Marco Coraggio, Giovanni Russo +2

In addressing control problems such as regulation and tracking through reinforcement learning, it is often required to guarantee that the acquired policy meets essential performanc…

eess.SY2023

Data-driven design of complex network structures to promote synchronization

Marco Coraggio, Mario di Bernardo

We consider the problem of optimizing the interconnection graphs of complex networks to promote synchronization. When traditional optimization methods are inapplicable, due to unce…