Szczegóły publikacji

Opis bibliograficzny

Distributed set-membership estimation over delayed and attacked sensor networks / Shenggui Bao, Junyi Li, Chang Liu, Yong Xu, Tingwen Huang, Leszek RUTKOWSKI // IEEE Transactions on Industrial Cyber-Physical Systems [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN  2832-7004 . — 2026 — vol. 4, s. 25–33. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 33, Abstr. — Publikacja dostępna online od: 2025-11-12. — L. Rutkowski - dod. afiliacje: Systems Research Institute of the Polish Academy of Sciences, Warsaw ; SAN University, Łódz

Autorzy (6)

Słowa kluczowe

random delaysobservability decompositionset membership estimationattack detection system

Dane bibliometryczne

ID BaDAP166925
Data dodania do BaDAP2026-04-08
Tekst źródłowyURL
DOI10.1109/TICPS.2025.3632249
Rok publikacji2026
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaIEEE Transactions on Industrial Cyber-Physical Systems

Abstract

This work proposes a novel distributed set-membership estimation for the locally observable system state with random delays and false data injection (FDI) attacks. By reconstructing the delayed measurements, the random delay system becomes a delay free one. An ellipsoid based dynamic attack detection strategy with adjustable thresholds is established to detect FDI attacks. To reduce the computation load, the observability decomposition approach is used to obtain the observable substate of each node. Then the distributed estimator is designed to estimate the observable substates, and the unobservable ones are estimated by exchanging information with neighbor nodes. A sufficient condition is then obtained to derive the ellipsoid sets of the system state through iteration. Furthermore, an optimization method is used to reduce the estimation errors. Finally, the estimation performance is demonstrated through numerical simulations, which indicate the efficiency of the proposed method.

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