@inproceedings{3ddb92f4feda4b779614922f21e40b8b,
title = "Resilient Estimation for Linear and Adaptive Distributed Observer Based on Redundant Information Flow",
abstract = "This addresses the consensus problem of a leader-following multi-agent system (MAS) in the presence of attacked nodes. A distributed observer is proposed deploying the subsequence-reduced algorithm (SRA) based on a thorough analysis of the attack pattern and scope of the cyber-attack model. By exploiting the robustness of the network communication graph and the redundant information, the proposed observer effectively eliminates cyber-attack impacts and achieves consensus convergence. The consensus property and attack rejection capability are analyzed by Lyapunov theory for both subsequence-reduced linear distributed observer (SRLDO) and the subsequence-reduced adaptive linear distributed observer (SRALDO). The effectiveness of the proposed observer is verified through a two-link robotic arm cluster experiment with comparisons to recent methods.",
keywords = "Consensus Convergence, Cyber-attack, Distribute Observer, Graph Robustness, Subsequence-Reduced Algorithm",
author = "Jingjian Mo and Xiaobo Zhang and Yangkun Zhang and Wenjie Lu and Peng Li",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 4th Conference on Fully Actuated System Theory and Applications, FASTA 2025 ; Conference date: 04-07-2025 Through 06-07-2025",
year = "2025",
doi = "10.1109/FASTA65681.2025.11138112",
language = "英语",
series = "Proceedings of the 4th Conference on Fully Actuated System Theory and Applications, FASTA 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "899--904",
booktitle = "Proceedings of the 4th Conference on Fully Actuated System Theory and Applications, FASTA 2025",
address = "美国",
}