TY - GEN
T1 - An Optimal Sliding Mode Controller Against False Data Injection Attacks
AU - Wu, Chengwei
AU - Dong, Bo
AU - Han, Shuo
AU - Yao, Weiran
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper investigates the optimal discrete sliding mode control problem of cyber-physical systems, actuators of which are intercepted by false data injection attacks. Although false data injection attacks can be regarded as matched input uncertainties, some existing sliding mode control schemes cannot be directly applied since attacks may not satisfy some properties of uncertainties, for example, the smoothness condition. In the design process, the linear quadratic optimal control is combined to design an optimal sliding mode surface, based on which an optimal discrete-time sliding mode controller is derived by using a modified Gao's reaching law. To implement such a control scheme, an estimator is introduced to estimate false data injection attacks. Finally, a numerical example is given to validate the effectiveness of the proposed secure controller.
AB - This paper investigates the optimal discrete sliding mode control problem of cyber-physical systems, actuators of which are intercepted by false data injection attacks. Although false data injection attacks can be regarded as matched input uncertainties, some existing sliding mode control schemes cannot be directly applied since attacks may not satisfy some properties of uncertainties, for example, the smoothness condition. In the design process, the linear quadratic optimal control is combined to design an optimal sliding mode surface, based on which an optimal discrete-time sliding mode controller is derived by using a modified Gao's reaching law. To implement such a control scheme, an estimator is introduced to estimate false data injection attacks. Finally, a numerical example is given to validate the effectiveness of the proposed secure controller.
KW - Cyber-Physical Systems
KW - False Data Injection Attacks
KW - Optimal Sliding Mode Control
UR - https://www.scopus.com/pages/publications/85137828704
U2 - 10.1109/DDCLS55054.2022.9858407
DO - 10.1109/DDCLS55054.2022.9858407
M3 - 会议稿件
AN - SCOPUS:85137828704
T3 - Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022
SP - 102
EP - 107
BT - Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022
A2 - Sun, Mingxuan
A2 - Chen, Zengqiang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2022
Y2 - 3 August 2022 through 5 August 2022
ER -