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.

This article investigates the problem of robust adaptive leaderless consensus for heterogeneous uncertain non-minimum phase linear multi-agent systems over directed communication graphs. Each agent is assumed to be of unknown nominal dynamics and also subject to external disturbances and/or unmodeled dynamics. A novel distributed robust adaptive control strategy is proposed. It is shown that the robust adaptive leaderless consensus problem is solved with the proposed control strategy under some sufficient conditions. Two examples are provided to demonstrate the efficacy of the proposed control strategy.