@article{Ying2025, 
author = {Zhang Ying and Feng Gang},
title = {Data-Driven Leader-Following Output Consensus of Discrete-Time MASs Under DoS Attacks},
year = {2025},
journal = {Unmanned Systems},
volume = {13},
number = {5},
pages = {1307-1318},
keywords = {data-driven, distributed observer, DoS attack, discrete-time, Leader-following output consensus},
url = {https://www.sciopen.com/article/10.1142/S2301385025440030},
doi = {10.1142/S2301385025440030},
abstract = {In this paper, the data-driven leader-following output consensus problem is addressed for discrete-time heterogeneous Multi-Agent Systems (MASs) in the presence of duration-constrained DoS attacks. First, a novel resilient distributed observer with exponential convergence is proposed for each follower to estimate the state of the leader. Then, based on the proposed resilient distributed observer, a data-driven distributed controller is designed for the concerned MAS with unknown agent parameters. It is shown that the resulting closed-loop MAS can achieve leader-following output consensus under some mild conditions. Different from most of the previous works that focus on continuous-time MASs under DoS attacks with undirected communication networks, this paper solves the data-driven leader-following output consensus problem for discrete-time heterogeneous MASs with directed communication networks in the presence of DoS attack. A simulation study is finally presented to illustrate the effectiveness of the proposed distributed controller.}
}