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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Bibliographic Details
Main Author: Silvestre, Daniel (author)
Other Authors: Rosa, P. (author), Hespanha, J.P. (author), Silvestre, C. (author)
Format: article
Language:eng
Published: 2018
Subjects:
Fault Detection
Computer Networks
Decentralization
Estimation Theory
Randomized Methods
Linear Parametrically Varying (LPV) methodologies.
Online Access:http://hdl.handle.net/11144/3425
Country:Portugal
Oai:oai:repositorio.ual.pt:11144/3425

Internet

http://hdl.handle.net/11144/3425

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