TY - JOUR
T1 - On Joint Reconstruction of State and Input-Output Injection Attacks for Nonlinear Systems
AU - Yang, Tianci
AU - Murguia, Carlos
AU - Lv, Chen
AU - Nesic, Dragan
AU - Huang, Chao
N1 - Funding Information:
Manuscript received March 4, 2021; revised May 4, 2021; accepted May 20, 2021. Date of publication May 24, 2021; date of current version June 28, 2021. This work was supported by the SUG-NAP of Nanyang Technological University, Singapore, under Grant M4082268.050. Recommended by Senior Editor F. Dabbene. (Corresponding author: Tianci Yang.) Tianci Yang, Chen Lv, and Chao Huang are with the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 2017 IEEE.
PY - 2021/5/24
Y1 - 2021/5/24
N2 - We address the problem of robust state reconstruction for discrete-time nonlinear systems when the actuators and sensors are injected with (potentially unbounded) attack signals. Exploiting redundancy in sensors and actuators and using a bank of unknown input observers (UIOs), we propose an observer-based estimator capable of providing asymptotic estimates of the system state and attack signals under the condition that the numbers of sensors and actuators under attack are sufficiently small. Using the proposed estimator, we provide methods for isolating the compromised actuators and sensors. Numerical examples are provided to demonstrate the effectiveness of our methods.
AB - We address the problem of robust state reconstruction for discrete-time nonlinear systems when the actuators and sensors are injected with (potentially unbounded) attack signals. Exploiting redundancy in sensors and actuators and using a bank of unknown input observers (UIOs), we propose an observer-based estimator capable of providing asymptotic estimates of the system state and attack signals under the condition that the numbers of sensors and actuators under attack are sufficiently small. Using the proposed estimator, we provide methods for isolating the compromised actuators and sensors. Numerical examples are provided to demonstrate the effectiveness of our methods.
KW - actuator attacks
KW - cyber-physical systems
KW - Nonlinear observers
KW - nonlinear systems
KW - sensor attacks
KW - unknown input observers
UR - http://www.scopus.com/inward/record.url?scp=85107194905&partnerID=8YFLogxK
U2 - 10.1109/LCSYS.2021.3083107
DO - 10.1109/LCSYS.2021.3083107
M3 - Journal article
AN - SCOPUS:85107194905
SN - 2475-1456
VL - 6
SP - 554
EP - 559
JO - IEEE Control Systems Letters
JF - IEEE Control Systems Letters
M1 - 9439530
ER -