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11

TSP
2016

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Consensus Algorithms With State-Dependent Weights

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Consensus Algorithms With State-Dependent Weights

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We provide an analysis of a consensus-type algorithm with weights dependent only on the received data. Differently from previous approaches that require a global knowledge of the network, we consider general weights inferred only from local data which can be modiﬁed by local functions on each node. We provide convergence conditions of such algorithms for general weight functions and derive analytical steady states in some selected cases.

Ondrej Sluciak, Markus Rupp

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Added	11 Apr 2016
Updated	11 Apr 2016
Type	Journal
Year	2016
Where	TSP
Authors	Ondrej Sluciak, Markus Rupp

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