Abstract
Algebraic connectivity of a network, which is defined as the second smallest eigenvalue of the Laplacian matrix, represents how strongly the network is connected. This paper proposes a new decentralized discrete-time algorithm for the estimation of the algebraic connectivity of multiagent networks. The validity of the proposed algorithm is verified by theoretical analysis and numerical experiments.
Original language | English |
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Title of host publication | 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 232-235 |
Number of pages | 4 |
ISBN (Electronic) | 9781509015702 |
DOIs | |
Publication status | Published - Jan 3 2017 |
Event | 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016 - Jeju, Korea, Republic of Duration: Oct 25 2016 → Oct 28 2016 |
Other
Other | 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016 |
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Country/Territory | Korea, Republic of |
City | Jeju |
Period | 10/25/16 → 10/28/16 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing