@inproceedings{1fd9d9667278471cb329bac47994d8f5,
title = "Data-Driven Optimal Output Tracking Control of Heterogeneous Multiagent Systems Under DoS Attacks",
abstract = "This paper addresses the output tracking problem for heterogeneous multiagent systems (MASs) with unknown dynamics under denial-of-service (DoS) attacks. We propose a resilient distributed observer incorporating an attack compensator to estimate the leader{\textquoteright}s state while mitigating the negative impact caused by network attacks. Additionally, we develop a data-driven learning algorithm circumventing the need for system dynamics knowledge. Compared with existing methods, the framework offers two key advantages: 1)the designed resilient distributed observer can dynamically reconstruct the system data lost during DoS attacks; 2)the developed learning algorithm eliminates the dependence of historical storage data. Finally, a numerical simulation is given to exemplify the effectiveness and superiority of the theoretical method.",
keywords = "DoS attacks, data-driven, heterogeneous MASs",
author = "Ma, \{Yong Sheng\} and Jian Sun and Yong Xu",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025 ; Conference date: 31-10-2025 Through 03-11-2025",
year = "2026",
doi = "10.1007/978-981-95-8435-2\_3",
language = "English",
isbn = "9789819584345",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "24--34",
editor = "Qing Wang and Xiwang Dong and Peng Song",
booktitle = "Proceedings of 2025 9th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Control Technologies",
address = "Germany",
}