Consensus acceleration in a class of predictive networks

Title: Consensus acceleration in a class of predictive networks
Creator: Zhang, Hai-Tao; Chen, Zhiyong
Relation: ARC.DP130103039
Relation: IEEE Transactions on Neural Networks and Learning Systems Vol. 25, Issue 10, p. 1921-1927
Publisher Link: http://dx.doi.org/10.1109/TNNLS.2013.2294674
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: journal article
Date: 2014
Description: A fastest consensus problem of topology fixed networks has been formulated as an optimal linear iteration problem and efficiently solved in the literature. Considering a kind of predictive mechanism, we show that the consensus evolution can be further accelerated while physically maintaining the network topology. The underlying mechanism is that an effective prediction is able to 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 natural systems.
Subject: consensus; multiagent systems; predictive control; networks
Identifier: http://hdl.handle.net/1959.13/1297151
Identifier: uon:19386
Identifier: ISSN:2162-237X
Language: eng
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