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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

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12 papers · 1 filter

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…

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…

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…

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…

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…