TY - GEN
T1 - Self Attack Detection and State Estimation Algorithm in Distributed Observer System under Combination Attack
AU - Sato, Shotaro
AU - Namerikawa, Toru
AU - Qu, Zhihua
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/14
Y1 - 2020/12/14
N2 - A problem of attack detection and state estimation in continuous time distributed observer system under combination attack which is defined as in the presence of measurement attack and observer communication attack is considered in this paper. We adopt the notion of virtual state to design an algorithm for attack detection. The algorithm is distributedly used in each local observer and does not need nonlocal information, thus it can be run by only itself. Additionally, we derive the inequality relationship between system graph connectivity and the number of the allowable attacked observer to achieve the detection and estimation with the proposed algorithm as a necessary and sufficient condition. A simple numerical example, finally, illustrates the effectiveness of the proposed algorithm.
AB - A problem of attack detection and state estimation in continuous time distributed observer system under combination attack which is defined as in the presence of measurement attack and observer communication attack is considered in this paper. We adopt the notion of virtual state to design an algorithm for attack detection. The algorithm is distributedly used in each local observer and does not need nonlocal information, thus it can be run by only itself. Additionally, we derive the inequality relationship between system graph connectivity and the number of the allowable attacked observer to achieve the detection and estimation with the proposed algorithm as a necessary and sufficient condition. A simple numerical example, finally, illustrates the effectiveness of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85099877161&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099877161&partnerID=8YFLogxK
U2 - 10.1109/CDC42340.2020.9304121
DO - 10.1109/CDC42340.2020.9304121
M3 - Conference contribution
AN - SCOPUS:85099877161
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 5011
EP - 5016
BT - 2020 59th IEEE Conference on Decision and Control, CDC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th IEEE Conference on Decision and Control, CDC 2020
Y2 - 14 December 2020 through 18 December 2020
ER -