Tight bound on parameter of surplus-based averaging algorithm over balanced digraphs

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Tight bound on parameter of surplus-based averaging algorithm over balanced digraphs

© 2018 Informa UK Limited, trading as Taylor & Francis Group. We study a continuous-time surplus-based algorithm for multi-agent average consensus, and derive a tight upper bound on the key parameter included in this algorithm that ensures convergence over strongly connected and balanced digra...

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Bibliographic Details
Main Authors:	Kawamura, S., Cai, K., Ye, Mengbin, Lin, Z.
Format:	Journal Article
Language:	English
Published:	TAYLOR & FRANCIS LTD 2020
Subjects:	Science & Technology Technology Automation & Control Systems Multi-agent systems average consensus surplus-based algorithm strongly connected digraphs balanced digraphs CONSENSUS AGENTS
Online Access:	http://hdl.handle.net/20.500.11937/82649

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