LAUSR

This paper investigates the problem of consensus for delayed multi-agent systems with stochastic perturbation via dual-stage impulsive approach. A novel dual-stage impulsive control technique is adopted in the field of consensus of multi-agent systems. Furthermore, the effects of stochastic perturbation have been taken into consideration simultaneously in the model, which provide a more piratical framework for the consensus of delayed multi-agent systems. Parameter uncertainties are also discussed in the research. Finally, we present the simulation results to verify the correctness of the proposed control mechanism.