TY - GEN
T1 - Formation Control Based on Active Compensation for Multi-Agent System under Communication Attack
AU - Wang, Jing
AU - Wang, Siyuan
AU - Zhou, Meng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, the formation control of multi-agent systems under communication attacks is studied. Consider that communication attacks will cause the unknown and time-varying changes in the topology of multi-agent systems, a formation control method of the multi-agent systems based on active compensation is proposed. Firstly, the communication attack is modeled as the time-varying part of the communication weight of the multi-agent system, and then the impact of the communication attack on the closed-loop system is regarded as the disturbance. Then an extended state observer is designed to estimate the state of each agent and the disturbance caused by the communication attack. According to the estimation of the observer, a formation controller based on active compensation is designed to realize the cooperative control of the the multi-agent systems. Finally, simulations are provided to illustrate the effectiveness of the proposed method.
AB - In this paper, the formation control of multi-agent systems under communication attacks is studied. Consider that communication attacks will cause the unknown and time-varying changes in the topology of multi-agent systems, a formation control method of the multi-agent systems based on active compensation is proposed. Firstly, the communication attack is modeled as the time-varying part of the communication weight of the multi-agent system, and then the impact of the communication attack on the closed-loop system is regarded as the disturbance. Then an extended state observer is designed to estimate the state of each agent and the disturbance caused by the communication attack. According to the estimation of the observer, a formation controller based on active compensation is designed to realize the cooperative control of the the multi-agent systems. Finally, simulations are provided to illustrate the effectiveness of the proposed method.
KW - Active Compensation
KW - Communication Attacks
KW - Disturbance
KW - Multi-Agent System
UR - https://www.scopus.com/pages/publications/85165997083
U2 - 10.1109/DDCLS58216.2023.10165791
DO - 10.1109/DDCLS58216.2023.10165791
M3 - 会议稿件
AN - SCOPUS:85165997083
T3 - Proceedings of 2023 IEEE 12th Data Driven Control and Learning Systems Conference, DDCLS 2023
SP - 996
EP - 1001
BT - Proceedings of 2023 IEEE 12th Data Driven Control and Learning Systems Conference, DDCLS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2023
Y2 - 12 May 2023 through 14 May 2023
ER -