Event-Triggered Resilient Consensus of Networked Euler-Lagrange Systems Under Byzantine Attacks
成果类型:
Article
署名作者:
Fu, Yuliang; Wen, Guanghui; Zhao, Dan; Zheng, Wei Xing; Li, Xiaolei
署名单位:
Southeast University - China; Southeast University - China; Southeast University - China; Western Sydney University; Yanshan University
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2025.3582531
发表日期:
2025
关键词:
multiagent systems
摘要:
The resilient consensus problem is investigated in this article for a class of networked Euler-Lagrange systems with event-triggered communication in the presence of Byzantine attacks. One challenge that we face in addressing the considered problem is the inapplicability of existing resilient decision algorithms designed for 1-D multiagent systems. This is because the networked Euler-Lagrange systems fall into the category of multi-dimensional multiagent systems with coupling among state vector components. To address this problem, we propose a new resilient decision algorithm. This algorithm constructs auxiliary variables related to the coordinative objectives for each normal agent and transforms the considered resilient consensus problem into the consensus problem of the designed auxiliary variables. Furthermore, to relax the constraints imposed on Byzantine agent behavior patterns within continuous-time scenarios, the event-triggered communication scheme is adopted. Finally, the effectiveness of the proposed algorithm is demonstrated through case studies.