Consensus acceleration of multi-agent systems via model prediction

Title: Consensus acceleration of multi-agent systems via model prediction
Creator: Chen, Zhiyong; Zhang, Hai-Tao
Relation: 2011 American Control Conference (ACC). Proceedings of the 2011 American Control Conference (ACC) (San Francisco, CA 29 June - 1 July, 2011) p. 5336-5341
Publisher Link: http://dx.doi.org/10.1109/ACC.2011.5990608
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2011
Description: Abstract: A fastest consensus problem of topology fixed networks has been formulated as an optimal linear iteration problem and efficiently solved by Xiao and Boyd. Considering a kind of predictive mechanism, we show that the consensus evolution can be further accelerated while physically maintaining the network topology. The underlaying mechanism is that an effective prediction is able to convert the network status along temporal dimension to that in spatial dimension and hence induce a network with a virtually denser topology. With this topology, an even faster consensus is expected to occur. The result is motivated by the predictive mechanism widely existing in biological swarms, flocks, and synchronization networks.
Subject: prediction; multi-agent systems; synchronization; consensus
Identifier: http://hdl.handle.net/1959.13/1325414
Identifier: uon:25260
Identifier: ISBN:9781457700804
Language: eng
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