Title

Interaction Reduction And Consensus For Multi-Agent Systems

Abstract

This paper studies a coordination strategy to utilize less data received from interactions among agents in a network. A distributed scheme is presented for each agent to perform interaction reduction independently using only the status information from its neighbors. As a result of the proposed scheme, agents can make their own decisions locally for a coordination purpose by ignoring the data received through deleted links. A consensus coordination problem is used as an example in the paper to illustrate the effect of interaction reduction on steady states and transient response of the consensus process. © 2010 AACC.

Publication Date

10-15-2010

Publication Title

Proceedings of the 2010 American Control Conference, ACC 2010

Number of Pages

1635-1640

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

77957799203 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/77957799203

This document is currently not available here.

Share

COinS