TY - GEN
T1 - Simultaneous Input and State Set-Valued Observers with Applications to Attack-Resilient Estimation
AU - Yong, Sze
PY - 2018/8/9
Y1 - 2018/8/9
N2 - In this paper, we present a fixed-order set-valued observer for linear discrete-time bounded-error systems that simultaneously finds bounded sets of compatible states and unknown inputs that are optimal in the minimum H∞-norm sense, i.e., with minimum average power amplification. We also analyze the necessary and sufficient conditions for the stability of the observer and its connection to a system property known as strong detectability. Next, we show that the proposed set-valued observer can be used for attack-resilient estimation of state and attack signals when cyber-physical systems are subject to false data injection attacks on both actuator and sensor signals. Moreover, we discuss the implication of strong detectability on resilient state estimation and attack identification. Finally, the effectiveness of our set-valued observer is demonstrated in simulation, including on an IEEE 14-bus electric power system.
AB - In this paper, we present a fixed-order set-valued observer for linear discrete-time bounded-error systems that simultaneously finds bounded sets of compatible states and unknown inputs that are optimal in the minimum H∞-norm sense, i.e., with minimum average power amplification. We also analyze the necessary and sufficient conditions for the stability of the observer and its connection to a system property known as strong detectability. Next, we show that the proposed set-valued observer can be used for attack-resilient estimation of state and attack signals when cyber-physical systems are subject to false data injection attacks on both actuator and sensor signals. Moreover, we discuss the implication of strong detectability on resilient state estimation and attack identification. Finally, the effectiveness of our set-valued observer is demonstrated in simulation, including on an IEEE 14-bus electric power system.
UR - http://www.scopus.com/inward/record.url?scp=85052589731&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052589731&partnerID=8YFLogxK
U2 - 10.23919/ACC.2018.8431052
DO - 10.23919/ACC.2018.8431052
M3 - Conference contribution
AN - SCOPUS:85052589731
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 5167
EP - 5174
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -