@inproceedings{7123ead52222473794c22e95f16dcbaf,
title = "Integrated Design of Fully Distributed Adaptive State Estimation and Consensus Control for Multi-agent Systems",
abstract = "In this paper, the problem of fully distributed adaptive state estimation and consensus control for linear multi-agent systems is investigated. By designing fully distributed adaptive output tracking observers, the entire output information is available to each agent, and local state estimators based on the estimated output is constructed to estimate the overall state of multi-agent systems. The consensus control protocol based on state estimation for multi-agent systems is designed to ensure the agents achieve consensus. The proposed control input of each agent relies on its own estimation of the entire state. Theoretical analysis proves the effectiveness of the algorithm and practical applications are given by simulation.",
keywords = "Adaptive output tracking, Consensus control, Distributed state estimation, Multi-agent systems",
author = "Jiazhu Huang and Yan Li and Yuezu Lv",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 30th International Conference on Neural Information Processing, ICONIP 2023 ; Conference date: 20-11-2023 Through 23-11-2023",
year = "2024",
doi = "10.1007/978-981-99-8079-6_18",
language = "English",
isbn = "9789819980789",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "226--237",
editor = "Biao Luo and Long Cheng and Zheng-Guang Wu and Hongyi Li and Chaojie Li",
booktitle = "Neural Information Processing - 30th International Conference, ICONIP 2023, Proceedings",
address = "Germany",
}