A Multi-Observer Approach for Attack Detection and Isolation of Discrete-Time Nonlinear Systems
Tianci Yang, Carlos Murguia, Margreta Kuijper, Dragan Nesic
2018 Australian & New Zealand Control Conference (ANZCC) | IEEE | Published : 2018
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 al..View full abstract
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Awarded by Australian Research Council
This work was supported by the Australian Research Council under the Discovery Project DP170104099.