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Mean-square consensus of multi-agent systems with noise and time delay via event-triggered control

Authors
/persons/resource/sun.fenglan

Sun,  Fenglan
Potsdam Institute for Climate Impact Research;

Shen,  Yunhao
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

Zhu,  Wei
External Organizations;

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Citation

Sun, F., Shen, Y., Kurths, J., Zhu, W. (2020): Mean-square consensus of multi-agent systems with noise and time delay via event-triggered control. - Journal of the Franklin Institute, 357, 9, 5317-5339.
https://doi.org/10.1016/j.jfranklin.2020.02.047


Cite as: https://publications.pik-potsdam.de/pubman/item/item_25231
Abstract
This paper studies the mean-square consensus for multi-agent systems with measurement noise and time delay via event-triggered control. By combining graph theory, stochastic analysis and matrix theory, some necessary and sufficient conditions for the consensus protocols are given. We show that through the periodic event-checking technique, the consensus systems could tolerate even a large time delay. Several simulations are presented to illustrate the effectiveness of the control protocol.