Data-Driven Security Control for CPSs under Aperiodic DoS Attacks: A Switched System Approach

Simple item page
dc.contributor.authorZhang, R.
dc.contributor.authorYang, R.
dc.contributor.authorZhu, Y.
dc.contributor.authorShi, P.
dc.date.issued2025
dc.description.abstractThis letter studies a data-driven security control problem for unknown discrete-time cyberphysical systems (CPSs) under aperiodic denial-of-service (DoS) attacks based on the switched system approach. Particularly, the concerned DoS attacks are characterized by the aperiodicity with the constraints of minimum silent interval and maximum active interval. Compared with the existing data-driven methods, a novel data-driven security control approach via descriptor method and auxiliary matrices is developed for the considered CPSs with the advantage of lower computational complexity and less input-state data information. First, by utilizing the collected data and switching strategy, the considered CPSs under attacks are transformed into a direct datadriven parametrization of the corresponding switched systems. Next, a data-driven control approach via Willems’ fundamental lemma is provided. Meanwhile, through introducing auxiliary matrices to construct the connection between data information and stability conditions, a different data-driven control approach via descriptor method is also presented for the considered unknown CPSs. Finally, the efficiency and advantage of the proposed method are validated by the comparative experiment of the two-wheeled robot.
dc.description.statementofresponsibilityRuifeng Zhang, Rongni Yang, Yanzheng Zhu, and Peng Shi
dc.identifier.citationIEEE Control Systems Letters, 2025; 9:1688-1693
dc.identifier.doi10.1109/LCSYS.2025.3582510
dc.identifier.issn2475-1456
dc.identifier.issn2475-1456
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttps://hdl.handle.net/2440/147679
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.granthttp://purl.org/au-research/grants/arc/DP240101140
dc.rights© 2025 IEEE. All rights reserved, including rights for text and data mining, and training of artificial intelligence and similar technologies. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
dc.source.urihttps://doi.org/10.1109/lcsys.2025.3582510
dc.subjectCyber-physical systems (CPSs); switched systems; aperiodic denial-of-service (DoS) attacks; stability of hybrid systems; data driven control.
dc.titleData-Driven Security Control for CPSs under Aperiodic DoS Attacks: A Switched System Approach
dc.typeJournal article
pubs.publication-statusPublished

Files

Collections

Research Outputs