Stochastic and deterministic fault detection for randomized gossip algorithms

This paper addresses the problem of detecting faults in linear randomized gossip algorithms, where the selection of the dynamics matrix is stochastic. A fault is a disturbance signal injected by an attacker to corrupt the states of the nodes. We propose the use of Set-Valued Observers (SVOs) to dete...

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Veröffentlicht in:	Automatica (Oxford) Jg. 78; S. 46 - 60
Hauptverfasser:	Silvestre, Daniel, Rosa, Paulo, Hespanha, João P., Silvestre, Carlos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2017
Schlagworte:	Computer networks Decentralization Estimation theory Fault detection Linear parametrically varying (LPV) methodologies Randomized methods Decentralization Randomized methods Linear parametrically varying (LPV) methodologies Computer networks Fault detection Estimation theory
ISSN:	0005-1098, 1873-2836
Online-Zugang:	Volltext
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