A Multi-Observer Approach for Attack Detection and Isolation of Discrete-Time Nonlinear Systems
Author
Yang, T; Murguia, C; Kuijper, M; Nesic, DDate
2018Source Title
2018 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC)Publisher
IEEEUniversity of Melbourne Author/s
Nesic, Dragan; Kuijper, Margreta; Yang, Tianci; Murguia Rendon, CarlosAffiliation
Electrical and Electronic EngineeringMetadata
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Conference PaperCitations
Yang, 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.Access Status
This item is currently not available from this repositoryARC Grant code
ARC/DP170104099Abstract
We 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.
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