activity
20142021
most citedSynchronization of networks of piecewise-smooth systems

22 citations · 34 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SY2021★ 22 cited

Synchronization of networks of piecewise-smooth systems

Marco Coraggio, Pietro DeLellis, S. John Hogan +1

We study convergence in networks of piecewise-smooth (PWS) systems that commonly arise in applications to model dynamical systems whose evolution is affected by macroscopic events…

physics.soc-ph2020★ 6 cited

Intermittent yet coordinated regional strategies can alleviate the COVID-19 epidemic: a network model of the Italian case

Fabio Della Rossa, Davide Salzano, Anna Di Meglio +10

The COVID-19 epidemic that emerged in Wuhan China at the end of 2019 hit Italy particularly hard, yielding the implementation of strict national lockdown rules (Phase 1). There is…

math.DS2019

Estimation and control of oscillators through short-range noisy proximity measurements

Francesco Lo Iudice, José Ángel Acosta, Franco Garofalo +1

In this paper, we present a novel estimation and control strategy to balance a formation of discrete-time oscillators on a circle. We consider the case in which each oscillator onl…

math.OC2019

Partial containment control over signed graphs

Pietro DeLellis, Anna DiMeglio, Franco Garofalo +1

In this paper, we deal with the containment control problem in presence of antagonistic interactions. In particular, we focus on the cases in which it is not possible to contain th…

q-fin.GN2015★ 6 cited

Wealth distribution across communities of adaptive financial agents

Pietro DeLellis, Franco Garofalo, Francesco Lo Iudice +1

This paper studies the trading volumes and wealth distribution of a novel agent-based model of an artificial financial market. In this model, heterogeneous agents, behaving accordi…

math.DS2014

Convergence and synchronization in heterogeneous networks of smooth and piecewise smooth systems

Pietro DeLellis, Mario di Bernardo, Davide Liuzza

This paper presents a framework for the study of convergence when the nodes' dynamics may be both piecewise smooth and/or nonidentical across the network. Specifically, we derive s…