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

Sun, Fenglan; Shen, Yunhao; Kurths, Jürgen; Zhu, Wei

doi:10.1016/j.jfranklin.2020.02.047

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

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/persons/resource/sun.fenglan

Sun, Fenglan
Potsdam Institute for Climate Impact Research;

Shen, Yunhao
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/persons/resource/Juergen.Kurths

Kurths, Jürgen
Potsdam Institute for Climate Impact Research;

Zhu, Wei
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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.