activity
20142025
most citedPost-Lockdown Abatement of COVID-19 by Fast Periodic Switching

71 citations · 138 across the 19 of their papers we have counts for

collaborators

19 papers

eess.SY2025

Resilient Distributed Control for Uncertain Nonlinear Interconnected Systems under Network Anomaly

Youqing Wang, Ying Li, Thomas Parisini +1

We address a distributed adaptive control methodology for nonlinear interconnected systems possibly affected by network anomalies. In the framework of adaptive approximation, the d…

math.OC2022

Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization

Michelangelo Bin, Ivano Notarnicola, Thomas Parisini

We revisit an algorithm for distributed consensus optimization proposed in 2010 by J. Wang and N. Elia. By means of a Lyapunov-based analysis, we prove input-to-state stability of…

eess.SY2022

Cyber-Physical Risk Assessment for False Data Injection Attacks Considering Moving Target Defences

Martin Higgins, Wangkun Xu, Fei Teng +1

In this paper, we examine the factors that influence the success of false data injection (FDI) attacks in the context of both cyber and physical styles of reinforcement. Many works…

eess.SY2021

State Estimation Using a Network of Distributed Observers With Unknown Inputs

Guitao Yang, Angelo Barboni, Hamed Rezaee +1

State estimation for a class of linear time-invariant systems with distributed output measurements (distributed sensors) and unknown inputs is addressed in this paper. The objectiv…

eess.SY2021

Traffic Control in a Mixed Autonomy Scenario at Urban Intersections: An Optimization-based Framework

Arnob Ghosh, Thomas Parisini

We consider an intersection zone where autonomous vehicles (AVs) and human-driven vehicles (HDVs) can be present. As a new vehicle arrives, the traffic controller needs to decide a…

physics.soc-ph2021★ 13 cited

On node ranking in graphs

Ekaterina Dudkina, Michelangelo Bin, Jane Breen +9

The ranking of nodes in a network according to their ``importance'' is a classic problem that has attracted the interest of different scientific communities in the last decades. Th…

eess.SY2021

Control of a Mixed Autonomy Signalised Urban Intersection: An Action-Delayed Reinforcement Learning Approach

Erica Salvato, Arnob Ghosh, Gianfranco Fenu +1

We consider a mixed autonomy scenario where the traffic intersection controller decides whether the traffic light will be green or red at each lane for multiple traffic-light block…

eess.SY2020

A Distributed Methodology for Approximate Uniform Global Minimum Sharing

Michelangelo Bin, Thomas Parisini

The paper deals with the distributed minimum sharing problem: a set of decision-makers compute the minimum of some local quantities of interest in a distributed and decentralized w…

physics.soc-ph2020★ 22 cited

Kemeny-based testing for COVID-19

Serife Yilmaz, Ekaterina Dudkina, Michelangelo Bin +6

Testing, tracking and tracing abilities have been identified as pivotal in helping countries to safely reopen activities after the first wave of the COVID-19 virus. Contact tracing…

eess.SY2020★ 4 cited

Towards Distributed Accommodation of Covert Attacks in Interconnected Systems

Angelo Barboni, Thomas Parisini

The problem of mitigating maliciously injected signals in interconnected systems is dealt with in this paper. We consider the class of covert attacks, as they are stealthy and cann…

eess.SY2020

Stealthy MTD Against Unsupervised Learning-based Blind FDI Attacks in Power Systems

Martin Higgins, Fei Teng, Thomas Parisini

This paper examines how moving target defences (MTD) implemented in power systems can be countered by unsupervised learning-based false data injection (FDI) attack and how MTD can…

physics.soc-ph2020★ 71 cited

Post-Lockdown Abatement of COVID-19 by Fast Periodic Switching

M. Bin, P. Cheung, E. Crisostomi +8

COVID-19 abatement strategies have risks and uncertainties which could lead to repeating waves of infection. We show -- as proof of concept grounded on rigorous mathematical eviden…

cs.CR2019★ 5 cited

Assessing Cyber-Physical Security in Industrial Control Systems

Martín Barrère, Chris Hankin, Demetrios G. Eliades +2

Over the last years, Industrial Control Systems (ICS) have become increasingly exposed to a wide range of cyber-physical threats. Efficient models and techniques able to capture th…

cs.CR2019★ 2 cited

MaxSAT Evaluation 2019 -- Benchmark: Identifying Security-Critical Cyber-Physical Components in Weighted AND/OR Graphs

Martín Barrère, Chris Hankin, Nicolas Nicolau +2

This paper presents a MaxSAT benchmark focused on identifying critical nodes in AND/OR graphs. We use AND/OR graphs to model Industrial Control Systems (ICS) as they are able to se…

cs.CR2019★ 9 cited

Identifying Security-Critical Cyber-Physical Components in Industrial Control Systems

Martín Barrère, Chris Hankin, Nicolas Nicolau +2

In recent years, Industrial Control Systems (ICS) have become an appealing target for cyber attacks, having massive destructive consequences. Security metrics are therefore essenti…

eess.SY2018

Distributed watermarking for secure control of microgrids under replay attacks

Alexander J. Gallo, Mustafa S. Turan, Francesca Boem +2

The problem of replay attacks in the communication network between Distributed Generation Units (DGUs) of a DC microgrid is examined. The DGUs are regulated through a hierarchical…

eess.SY2017

A Convex Optimization Approach for Backstepping PDE Design: Volterra and Fredholm Operators

Pedro Ascencio, Alessandro Astolfi, Thomas Parisini

Backstepping design for boundary linear PDE is formulated as a convex optimization problem. Some classes of parabolic PDEs and a first-order hyperbolic PDE are studied, with partic…

eess.SY2015★ 7 cited

Distributed Adaptive Fault-Tolerant Control of Uncertain Multi-Agent Systems

Mohsen Khalili, Xiaodong Zhang, Marios M. Polycarpou +2

This paper presents an adaptive fault-tolerant control (FTC) scheme for a class of nonlinear uncertain multi-agent systems. A local FTC scheme is designed for each agent using loca…

eess.SY2014★ 5 cited

Plug-and-play fault diagnosis and control-reconfiguration for a class of nonlinear large-scale constrained systems

Stefano Riverso, Francesca Boem, Giancarlo Ferrari-Trecate +1

This paper deals with a novel Plug-and-Play (PnP) architecture for the control and monitoring of Large-Scale Systems (LSSs). The proposed approach integrates a distributed Model Pr…