@inproceedings{33998d259d834879a047426cde1b192b,
title = "Fully Distributed Adaptive State Estimation and Consensus Control of Multi-agent Systems: A Reduced-order Observer-based Approach",
abstract = "This paper focuses on the integrated design of adaptive state estimation and consensus control for multi-agent systems. To improve the consensus performance of the multi-agent systems in the presence of some agents' sensor failures, the cooperative state estimation model is introduced, and fully distributed adaptive output tracking estimators and reduced-order state observers are designed based on this model. The consensus control protocol, relying on only the self-estimated states, is proposed and enables the achievement of consensus of the multi-agent system under directed graphs. The effectiveness of the algorithm is theoretically analyzed and validated through simulation.",
keywords = "Multi-agent systems, adaptive output tracking, consensus control, reduced-order state observer",
author = "Jiazhu Huang and Yan Li and Yuezu Lv and Jialing Zhou",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 3rd Conference on Fully Actuated System Theory and Applications, FASTA 2024 ; Conference date: 10-05-2024 Through 12-05-2024",
year = "2024",
doi = "10.1109/FASTA61401.2024.10595343",
language = "English",
series = "Proceedings of the 3rd Conference on Fully Actuated System Theory and Applications, FASTA 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "432--437",
booktitle = "Proceedings of the 3rd Conference on Fully Actuated System Theory and Applications, FASTA 2024",
address = "United States",
}