22 citations · 66 across the 21 of their papers we have counts for
22 papers
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…
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…
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…
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…
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…
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…
Local convergence of multi-agent systems towards triangular patterns
Andrea Giusti, Marco Coraggio, Mario di Bernardo
Geometric pattern formation is an important emergent behavior in many applications involving large-scale multi-agent systems, such as sensor networks deployment and collective tran…
Consensus-based Distributed Intentional Controlled Islanding of Power Grids
Francesco Lo Iudice, Ricardo Cardona-Rivera, Antonio Grotta +2
The problem of partitioning a power grid into a set of islands can be a solution to restore power dispatchment in sections of a grid affected by an extreme failure. Current solutio…
CT-DQN: Control-Tutored Deep Reinforcement Learning
Francesco De Lellis, Marco Coraggio, Giovanni Russo +2
One of the major challenges in Deep Reinforcement Learning for control is the need for extensive training to learn the policy. Motivated by this, we present the design of the Contr…
Distributed control for geometric pattern formation of large-scale multirobot systems
Andrea Giusti, Gian Carlo Maffettone, Davide Fiore +2
Geometric pattern formation is crucial in many tasks involving large-scale multi-agent systems. Examples include mobile agents performing surveillance, swarm of drones or robots, o…
Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application
Marco Coraggio, Saber Jafarpour, Francesco Bullo +1
Given a flow network with variable suppliers and fixed consumers, the minimax flow problem consists in minimizing the maximum flow between nodes, subject to flow conservation and c…
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control
F. De Lellis, M. Coraggio, G. Russo +2
We present an architecture where a feedback controller derived on an approximate model of the environment assists the learning process to enhance its data efficiency. This architec…
Adaptive and quasi-sliding control of shimmy in landing gears
Daniel A. Burbano-Lombana, Marco Coraggio, Mario di Bernardo +2
Shimmy is a dangerous phenomenon that occurs when aircraft's nose landing gears oscillate in a rapid and uncontrollable fashion. In this paper, we propose the use of two nonlinear…
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…
Utilizing synchronization to partition power networks into microgrids
Ricardo Cardona-Rivera, Francesco Lo Iudice, Antonio Grotta +2
The problem of partitioning a power grid into a set of microgrids, or islands, is of interest for both the design of future smart grids, and as a last resort to restore power dispa…
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization
Marco Coraggio, Shihao Xie, Francesco De Lellis +2
This paper is concerned with the design of intermittent non-pharmaceutical strategies to mitigate the spread of the COVID-19 epidemic exploiting network epidemiological models. Spe…
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…
Distributed Discontinuous Coupling for Convergence in Networks of Heterogeneous Nonlinear Systems
Marco Coraggio, Pietro DeLellis, Mario di Bernardo
Synchronization is a crucial phenomenon in many natural and artificial complex network systems. Applications include neuronal networks, formation control and coordination in roboti…
Control of Painlevé Paradox in a Robotic System
Davide Marchese, Marco Coraggio, S. John Hogan +1
The Painlevé paradox is a phenomenon that causes instability in mechanical systems subjects to unilateral constraints. While earlier studies were mostly focused on abstract theoret…
Convergence and Synchronization in Networks of Piecewise-Smooth Systems via Distributed Discontinuous Coupling
Marco Coraggio, Pietro DeLellis, Mario di Bernardo
Complex networks are a successful framework to describe collective behaviour in many applications, but a notable gap remains in the current literature, that of proving asymptotic c…
Observer design for piecewise smooth and switched systems via contraction theory
Davide Fiore, Marco Coraggio, Mario di Bernardo
The aim of this paper is to present the application of an approach to study contraction theory recently developed for piecewise smooth and switched systems. The approach that can b…
Improved Control Strategies for Intermittent Contact Mode Atomic Force Microscopes
Marco Coraggio, Martin Homer, Oliver D. Payton +1
Atomic force microscopes have proved to be fundamental research tools in many situations where a gentle imaging process is required, and in a variety of environmental conditions, s…