A Multi-Observer Approach for Attack Detection and Isolation of Discrete-Time Nonlinear Systems
AuthorYang, T; Murguia, C; Kuijper, M; Nesic, D
Source Title2018 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC)
University of Melbourne Author/sNesic, Dragan; Kuijper, Margreta; Yang, Tianci; Murguia Rendon, Carlos
Document TypeConference Paper
CitationsYang, 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), pp.346-351. IEEE. https://doi.org/10.1109/ANZCC.2018.8606587.
Access StatusThis item is currently not available from this repository
ARC Grant codeARC/DP170104099
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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