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Sparse Linear Injection Attack on Multi-Agent Consensus Control Systems
Hong Kong University of Science and Technology, Hong Kong Digital Futures, KTH Royal Institute of Technology, Sweden.
Hong Kong University of Science and Technology, Hong Kong Digital Futures, KTH Royal Institute of Technology, Sweden.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
Hong Kong University of Science and Technology, Hong Kong Digital Futures, KTH Royal Institute of Technology, Sweden.
2021 (English)In: IEEE Control Systems Letters, E-ISSN 2475-1456, Vol. 5, no 2, p. 665-670, article id 9125950Article in journal (Refereed) Published
Abstract [en]

This letter investigates the problem of false data injection attack on the communication channels in a multi-agent system executing a consensus protocol. We formulate a non-convex optimisation problem for an attack strategy with minimal one-step attack energy to guarantee instability of the consensus system. We propose an algorithm based on ADMM to solve the problem efficiently in case standard solvers are not available. Numerical simulations are provided to illustrate the effectiveness of the attack strategy.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021. Vol. 5, no 2, p. 665-670, article id 9125950
Keywords [en]
integrity attack, Multi-agent systems, networked control systems, optimization, Convex optimization, Attack strategies, Consensus control, Consensus protocols, Convex optimisation, False data injection attacks, Multi agent, Multi agent systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-285249DOI: 10.1109/LCSYS.2020.3004920ISI: 000548754100018Scopus ID: 2-s2.0-85089191605OAI: oai:DiVA.org:kth-285249DiVA, id: diva2:1500471
Note

QC 20201112

Available from: 2020-11-12 Created: 2020-11-12 Last updated: 2024-01-10Bibliographically approved

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Johansson, Karl H.

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