Distributed Finite-Time Consensus Algorithm for Multiagent Systems via Aperiodically Intermittent Protocol

This brief focuses on the dynamic finite-time consensus (FTC) problem of linear multiagent systems (MASs) via distributed intermittent control under directed topology. Firstly, a new neighbor-based intermittent control algorithm is formulated for the MASs, which guarantees all agents can achieve consensus in finite time. Secondly, most of existing works about FTC algorithm is based on the continuous communication. However, in practice, we need to consider the consensus problem under discontinuous communication. Aimed at filling the research gap, the intermittent control FTC algorithm is proposed and results in less communication energy among agents. In addition, it is proved that increasing coupling weight among agents will be an effective method to improve the convergence rate of the considered MASs. Finally, simulation is performed to validate the effectiveness of the proposed scheme.