TY  - CPAPER
AU  - Yang, T
AU  - Murguia, C
AU  - Kuijper, M
AU  - Nesic, D
Y2  - 2020/11/17
Y1  - 2018
SN  - 9781538666173
UR  - http://hdl.handle.net/11343/251780
AB  - 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.
LA  - English
PB  - IEEE
T1  - A Multi-Observer Approach for Attack Detection and Isolation of Discrete-Time Nonlinear Systems
DO  - 10.1109/ANZCC.2018.8606587
IS  - 2018 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC)
VL  - 00
SP  - 346-351
OP  - DP170104099
L1  - /bitstream/handle/11343/251780/Yang_A%20multi-observer%20approach%20for%20attack%20detection%20and%20isolation%20of%20discrete-time%20nonlinear%20systems.pdf?sequence=5&isAllowed=y
L1  - /bitstream/handle/11343/251780/Yang_A%20multi-observer%20approach%20for%20attack%20detection%20and%20isolation%20of%20discrete-time%20nonlinear%20systems.pdf?sequence=2&isAllowed=n
ER  -