Utilize este identificador para referenciar este registo:
http://hdl.handle.net/11144/3421
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Silvestre, Daniel | - |
dc.contributor.author | Rosa, P. | - |
dc.contributor.author | Cunha, R. | - |
dc.contributor.author | Hespanha, J.P. | - |
dc.contributor.author | Silvestre, C. | - |
dc.date.accessioned | 2018-02-07T10:33:24Z | - |
dc.date.available | 2018-02-07T10:33:24Z | - |
dc.date.issued | 2013-12 | - |
dc.identifier.citation | D. Silvestre, P. Rosa, R. Cunha, J. P. Hespanha and C. Silvestre, "Gossip average consensus in a Byzantine environment using stochastic Set-Valued Observers," 52nd IEEE Conference on Decision and Control, Firenze, 2013, pp. 4373-4378. | por |
dc.identifier.issn | 0191-2216 | - |
dc.identifier.uri | http://hdl.handle.net/11144/3421 | - |
dc.description.abstract | We address the problem of a consensus system in the presence of Byzantine faults seen as an attacker injecting a perturbation in the state of the nodes. We propose the use of Set-Valued Observers to detect if the state observations are compatible with the system dynamics. The method is extended to the stochastic case by introducing a strategy to construct a set that is guaranteed to contain all possible states with, at least, a pre-specified desired probability. The proposed algorithm is stable in the sense that it requires a finite number of vertices to represent polytopic sets while also enabling the a priori computation of the largest magnitude of a disturbance that an attacker can inject without being detected. | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.rights | openAccess | por |
dc.subject | stochastic systems | por |
dc.subject | distributed algorithms | por |
dc.title | Gossip average consensus in a Byzantine environment using stochastic Set-Valued Observers | por |
dc.type | article | por |
degois.publication.firstPage | 4373 | por |
degois.publication.lastPage | 4378 | por |
degois.publication.location | Firenze | por |
degois.publication.title | 52nd IEEE Conference on Decision and Control | por |
dc.peerreviewed | yes | por |
dc.identifier.doi | 10.1109/CDC.2013.6760562 | por |
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