Document Type
Article
Publication Date
9-2024
Department
Engineering
Keywords
protocols, eigenvalues and eigenfunctions, network systems, Laplace equations, observers, linear matrix inequalities, communication networks, cyber-physical systems, computational modeling, decision/estimation theory, networked control systems
Abstract
Cyber-physical systems are prevalent in many critical infrastructures and are vulnerable to a variety of attacks from the network. Decentralized control systems are particularly vulnerable since they rely heavily on network communication to achieve their goals. To address network vulnerabilities, we present an event-triggered network connection and communication protocol that minimizes the amount of time agents are connected to the network, reducing the window of opportunity for attacks. This mechanism is a function of only local information and ensures stability for the overall system in attack-free scenarios. Our approach distinguishes itself from current decentralized event-triggered control strategies by considering an undirected and connected communication graph and by not assuming that agents are always connected to the network to receive critical information from other agents. An algorithm describing this network connection and communication protocol is provided, and our approach is illustrated via simulation.
Source Publication Title
IEEE Transactions on Control of Network Systems
Publisher
IEEE
Volume
11
Issue
3
First Page
1576
DOI
10.1109/TCNS.2023.3343151
Recommended Citation
Griffioen, P., Romagnoli, R., Krogh, B. H., & Sinopoli, B. (2024). Reducing Attack Opportunities Through Decentralized Event-Triggered Control. IEEE Transactions on Control of Network Systems, 11 (3), 1576. https://doi.org/10.1109/TCNS.2023.3343151
Comments
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.