Decentralized Laplacian eigenvalues estimation for networked multi-agent systems

FRANCESCHELLI, MAURO;GIUA, ALESSANDRO;SEATZU, CARLA
2009-01-01

Abstract

In this paper we present a novel decentralized algorithm to estimate the eigenvalues of the Laplacian of the network topology of a multi-agent system. The basic idea is to provide a local interaction rule among agents so that their state oscillates only at frequencies corresponding to eigenvalues of the network topology. In this way, the problem of decentralized eigenvalue estimation is mapped into a problem of signal processing, solvable by applying the Fast Fourier Transform (FFT).
2009
Inglese
Proceedings of the 48th IEEE Conference on Decision and Control
9781424438716
2717
2722
6
WOS:000336893603036
2-s2.0-77950790304
http://www.scopus.com/inward/record.url?eid=2-s2.0-77950790304&partnerID=40&md5=1fc0005f7087cbb1dbdad52153dd506c
48th IEEE Conference on Decision and Control
Contributo
Esperti anonimi
December 2009
Shanghai, China
internazionale
scientifica
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Franceschelli, Mauro; Gasparri, A; Giua, Alessandro; Seatzu, Carla
273
4
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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