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Optimal strategies in the average consensus problem

Authors: J. C. DELVENNE; CARLI, RUGGERO; ZAMPIERI, SANDRO;

Optimal strategies in the average consensus problem

Abstract

We prove that for a set of communicating agents to compute the average of their initial positions (average consensus problem), the optimal topology of communication is given by a de Bruijn's graph. Consensus is then reached in a finitely many steps. A more general family of strategies, constructed by block Kronecker products, is investigated and compared to Cayley strategies.

9 pages; extended preprint with proofs of a CDC 2007 (Conference on decision and Control) paper

Country
Italy
Keywords

Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Kronecker product, Decentralized systems, Computer Science - Networking and Internet Architecture, Optimization and Control (math.OC), Applications of graph theory to circuits and networks, FOS: Mathematics, Computer Science - Multiagent Systems, Mathematics - Optimization and Control, de Bruijn graphs, average consensus problems, Multiagent Systems (cs.MA)

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    62
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
62
Top 10%
Top 10%
Top 10%
Green
bronze