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Decentralised minimal-time dynamic consensus |
Abstract |
This paper considers a group of agents tha … This paper considers a group of agents that aim to reach an agreement on individually measured time-varying signals by local communication. In contrast to static network averaging problem, the consensus we mean in this paper is reached in a dynamic sense. A discrete-time dynamic average consensus protocol can be designed to allow all the agents tracking the average of their reference inputs asymptotically. We propose a minimal-time dynamic consensus algorithm, which only utilises minimal number of local observations of randomly picked node in a network to compute the final consensus signal. Our results illustrate that with memory and computational ability, the running time of distributed averaging algorithms can be indeed improved dramatically using local information as suggested by Olshevsky and Tsitsiklis. as suggested by Olshevsky and Tsitsiklis. +
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Authors | Ye Yuan, Jun Liu, Richard M. Murray and Jorge Gonçalves + |
ID | 2011k + |
Source | Submitted, 2012 American Control Conference (ACC) + |
Tag | ylmg12-acc + |
Title | Decentralised minimal-time dynamic consensus + |
Type | Conference Paper + |
Categories | Papers |
Modification date This property is a special property in this wiki.
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15 May 2016 06:16:00 + |
URL This property is a special property in this wiki.
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http://www.cds.caltech.edu/~murray/preprints/ylmg12-acc_s.pdf + |
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Decentralised minimal-time dynamic consensus + | Title |
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