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dc.contributor.authorYang, T
dc.contributor.authorMurguia, C
dc.contributor.authorKuijper, M
dc.contributor.authorNesic, D
dc.date.accessioned2020-11-17T04:21:03Z
dc.date.available2020-11-17T04:21:03Z
dc.date.issued2018
dc.identifier.citationYang, T., Murguia, C., Kuijper, M. & Nesic, D. (2018). A Multi-Observer Approach for Attack Detection and Isolation of Discrete-Time Nonlinear Systems. 2018 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC), 00, pp.346-351. IEEE. https://doi.org/10.1109/ANZCC.2018.8606587.
dc.identifier.isbn9781538666173
dc.identifier.urihttp://hdl.handle.net/11343/251780
dc.description.abstractWe address the problem of attack detection and isolation for a class of discrete-time nonlinear systems under (potentially unbounded) sensor attacks and measurement noise. We consider the case when a subset of sensors is subject to additive false data injection attacks. Using a bank of observers, each observer leading to an Input-to-State Stable (ISS) estimation error, we propose two algorithms for detecting and isolating sensor attacks. These algorithms make use of the ISS property of the observers to check whether the trajectories of observers are "consistent" with the attack-free trajectories of the system. Simulations results are presented to illustrate the performance of the proposed algorithms.
dc.languageEnglish
dc.publisherIEEE
dc.source2018 Australian and New Zealand Control Conference (ANZCC)
dc.titleA Multi-Observer Approach for Attack Detection and Isolation of Discrete-Time Nonlinear Systems
dc.typeConference Paper
dc.identifier.doi10.1109/ANZCC.2018.8606587
melbourne.affiliation.departmentElectrical and Electronic Engineering
melbourne.source.title2018 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC)
melbourne.source.volume00
melbourne.source.pages346-351
melbourne.identifier.arcDP170104099
melbourne.elementsid1379494
melbourne.contributor.authorNesic, Dragan
melbourne.contributor.authorKuijper, Margreta
melbourne.contributor.authorYang, Tianci
melbourne.contributor.authorMurguia Rendon, Carlos
melbourne.identifier.fundernameidAustralian Research Council, DP170104099
melbourne.event.locationMelbourne, Australia
melbourne.accessrightsOpen Access


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