Sampled-Data-Based Consensus and $L_{2}$ -Gain Analysis for Heterogeneous Multiagent Systems

摘要: This paper is concerned with the sampled-data-based consensus problem of heterogeneous multiagent systems under directed graph topology communication failure. The system consists first-order and second-order integrators. Consensus may not be guaranteed if failure always happens. However, frequency length satisfy certain conditions, considered can reached. In particular, we introduce concepts length. Then, help switching technique Lyapunov stability theory, sufficient conditions are derived in terms linear matrix inequalities, which guarantees that only achieves but also maintains a desired $ {L_{2}}$ -gain performance. A simulation example given to show effectiveness proposed method this paper.