Consensus of delayed multi-agent dynamical systems with stochastic perturbation via dual-stage impulsive approach
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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.
KeywordsConsensus of multi-agent systems Stochastic disturbance Dual-stage impulsive control Parameter uncertainty
The work is jointly supported by the National Natural Science Foundation of China (Grant No. 61876200) and Program for Innovation Team Building at Institutions of Higher Education in Chongqing (KJTD201312).
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