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Interval consensus: A novel class of constrained consensus problems for multiagent networks

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Date

2017

Authors

Fontan, Angela
Shi, Guodong
Hu, Xiaoming
Altafini, Claudio

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Abstract

In the consensus problem considered in this paper, each agent can impose a lower and an upper bound on the achievable consensus values. We show that if such state constraints are implemented by saturating the value transmitted to the neighboring nodes, the resulting constrained consensus problem must converge to the intersection of the intervals imposed by the individual agents.

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Keywords

Citation

URI

http://hdl.handle.net/1885/313263

Collections

ANU Research Publications

Source

2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/CDC.2017.8264270

Restricted until

2099-12-31

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Interval_consensus_A_novel_class_of_constrained_consensus_problems_for_multiagent_networks.pdf (187.12 KB)

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