Presentation | 2014-11-20 Analysis of average consensus dynamics for faster convergence Kenji NOMURA, Naoki HAYASHI, Shigemasa TAKAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we consider convergence speed of consensus problems in multi-agent systems. The convergence speed of consensus problems is closely related to the second smallest eigenvalue of a graph Laplacian. We propose a novel continuous-time average consensus dynamics in which each agent considers not only the difference of states among its neighbors but also the one observed by its neighbor agents. We show that the proposed dynamics can achieve the faster convergence than the conventional dynamics. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Multi-agent systems / Consensus problem / Graph Laplacian / Second smallest eigenvalue |
Paper # | CAS2014-97,MSS2014-61 |
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Committee | MSS |
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Conference Date | 2014/11/13(1days) |
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Registration To | Mathematical Systems Science and its applications(MSS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of average consensus dynamics for faster convergence |
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Keyword(1) | Multi-agent systems |
Keyword(2) | Consensus problem |
Keyword(3) | Graph Laplacian |
Keyword(4) | Second smallest eigenvalue |
1st Author's Name | Kenji NOMURA |
1st Author's Affiliation | Graduate School of Engineering, Osaka University() |
2nd Author's Name | Naoki HAYASHI |
2nd Author's Affiliation | Graduate School of Engineering, Osaka University |
3rd Author's Name | Shigemasa TAKAI |
3rd Author's Affiliation | Graduate School of Engineering, Osaka University |
Date | 2014-11-20 |
Paper # | CAS2014-97,MSS2014-61 |
Volume (vol) | vol.114 |
Number (no) | 313 |
Page | pp.pp.- |
#Pages | 4 |
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