Jessica Lampis

Distributed tracking of graph parameters in anonymous networks with time-varying topology

Deplano, D
Primo
;
Franceschelli, M
Penultimo
;
Giua, A
Ultimo
2021-01-01

Abstract

In this paper, we propose a distributed protocol for multi-agent systems to estimate and track changes to the diameter, and radius of a network with time-varying topology, as well as the eccentricity of each agent within it. The main strengths of the proposed protocol are its finite-time convergence and robustness to re-initialization, i.e., if there are changes in the network topology or in the agents' states during the protocol execution then it does not need to be re-initialized to converge to the correct estimation at the steady-state. The expected estimation error of the protocol can be traded-off by increasing the size of locally exchanged messages. We provide a theoretical characterization of the expected steady-state error and some numerical simulations.
2021
Inglese
60th IEEE Conference on Decision and Control (CDC)
6258
6263
6
60th IEEE Conference on Decision and Control, CDC 2021
Esperti anonimi
December 2021
Austin, Texas
scientifica
distributed tracking; time-varying network; anonymous network
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Deplano, D; Franceschelli, M; Giua, A
273
3
4.1 Contributo in Atti di convegno
partially_open
info:eu-repo/semantics/conferencePaper
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