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Main Authors: Bouvier, Jean-Baptiste, Nandanoori, Sai Pushpak, Ornik, Melkior
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2306.16588
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author Bouvier, Jean-Baptiste
Nandanoori, Sai Pushpak
Ornik, Melkior
author_facet Bouvier, Jean-Baptiste
Nandanoori, Sai Pushpak
Ornik, Melkior
contents Resilience of cyber-physical networks to unexpected failures is a critical need widely recognized across domains. For instance, power grids, telecommunication networks, transportation infrastructures and water treatment systems have all been subject to disruptive malfunctions and catastrophic cyber-attacks. Following such adverse events, we investigate scenarios where a node of a linear network suffers a loss of control authority over some of its actuators. These actuators are not following the controller's commands and are instead producing undesirable outputs. The repercussions of such a loss of control can propagate and destabilize the whole network despite the malfunction occurring at a single node. To assess system vulnerability, we establish resilience conditions for networks with a subsystem enduring a loss of control authority over some of its actuators. Furthermore, we quantify the destabilizing impact on the overall network when such a malfunction perturbs a nonresilient subsystem. We illustrate our resilience conditions on two academic examples, on an islanded microgrid, and on the linearized IEEE 39-bus system.
format Preprint
id arxiv_https___arxiv_org_abs_2306_16588
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Losing Control of your Network? Try Resilience Theory
Bouvier, Jean-Baptiste
Nandanoori, Sai Pushpak
Ornik, Melkior
Systems and Control
Resilience of cyber-physical networks to unexpected failures is a critical need widely recognized across domains. For instance, power grids, telecommunication networks, transportation infrastructures and water treatment systems have all been subject to disruptive malfunctions and catastrophic cyber-attacks. Following such adverse events, we investigate scenarios where a node of a linear network suffers a loss of control authority over some of its actuators. These actuators are not following the controller's commands and are instead producing undesirable outputs. The repercussions of such a loss of control can propagate and destabilize the whole network despite the malfunction occurring at a single node. To assess system vulnerability, we establish resilience conditions for networks with a subsystem enduring a loss of control authority over some of its actuators. Furthermore, we quantify the destabilizing impact on the overall network when such a malfunction perturbs a nonresilient subsystem. We illustrate our resilience conditions on two academic examples, on an islanded microgrid, and on the linearized IEEE 39-bus system.
title Losing Control of your Network? Try Resilience Theory
topic Systems and Control
url https://arxiv.org/abs/2306.16588