TY - GEN
T1 - Bipartite Consensus of Cyber-phycial Networks against False Data Injection Attacks
AU - Nan, Xiaoya
AU - Yu, Jiahui
AU - Wang, Shuai
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper intends to solve the robust consensus problem of cyber-phycial networks with signed graph under cyber-attacks. The conmunication topology is considered to be directed. First, A fully distributed robust control protocol is presented without uasage of any glabol information, when actuator suffered false dada input attacks. Next, the stalibity is proved by Lyapounov Theory. Finally, a simulation to verify the main result in this paper.
AB - This paper intends to solve the robust consensus problem of cyber-phycial networks with signed graph under cyber-attacks. The conmunication topology is considered to be directed. First, A fully distributed robust control protocol is presented without uasage of any glabol information, when actuator suffered false dada input attacks. Next, the stalibity is proved by Lyapounov Theory. Finally, a simulation to verify the main result in this paper.
KW - bipartite consensus
KW - cyber-physical networks
KW - false data input attacks
KW - fully distributed control
UR - https://www.scopus.com/pages/publications/85136113848
U2 - 10.1109/ICACI55529.2022.9837717
DO - 10.1109/ICACI55529.2022.9837717
M3 - 会议稿件
AN - SCOPUS:85136113848
T3 - 2022 14th International Conference on Advanced Computational Intelligence, ICACI 2022
SP - 332
EP - 336
BT - 2022 14th International Conference on Advanced Computational Intelligence, ICACI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Advanced Computational Intelligence, ICACI 2022
Y2 - 15 July 2022 through 17 July 2022
ER -