TY - JOUR
T1 - Losing Control of your Linear Network? Try Resilience Theory
AU - Bouvier, Jean Baptiste
AU - Nandanoori, Sai Pushpak
AU - Ornik, Melkior
N1 - Manuscript received June 1, 2023. This work was supported by NASA grant no. 80NSSC22M0070. This material is partially based upon work supported by the United States Air Force under contract no. FA9550-23-1-0131. (Corresponding author: Jean-Baptiste Bouvier.) J.-B. Bouvier is with the Department of Aerospace Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA (e-mail: [email protected]) S. P. Nandanoori is with the Pacific Northwest National Laboratory, Richland, WA 99354 USA (email: [email protected]) M. Ornik is with the Department of Aerospace Engineering and the Coordinated Science Laboratory, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA (e-mail: [email protected])
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Actuators
KW - Aerodynamics
KW - Control systems
KW - Cyber-Physical Systems
KW - Cyberattack
KW - Loss of Control
KW - Network systems
KW - Networked Control Systems
KW - Resilience
KW - Resilience
KW - Vectors
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U2 - 10.1109/TCNS.2024.3431409
DO - 10.1109/TCNS.2024.3431409
M3 - Article
AN - SCOPUS:85199112881
SN - 2325-5870
SP - 1
EP - 12
JO - IEEE Transactions on Control of Network Systems
JF - IEEE Transactions on Control of Network Systems
ER -