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dc.contributor.authorHermoso-Carazo, Aurora
dc.contributor.authorLinares-Pérez, Josefa
dc.date.accessioned2014-09-19T11:03:07Z
dc.date.available2014-09-19T11:03:07Z
dc.date.issued2009
dc.identifier.citationHermoso-Carazo, A.; Linares-Pérez, J. Unscented Filtering from Delayed Observations with Correlated Noises. Mathematical Problems in Engineering, 2009: 681593 (2009). [http://hdl.handle.net/10481/33096]es_ES
dc.identifier.issn1024-123X
dc.identifier.urihttp://hdl.handle.net/10481/33096
dc.description.abstractA filtering algorithm based on the unscented transformation is proposed to estimate the state of a nonlinear system from noisy measurements which can be randomly delayed by one sampling time. The state and observation noises are perturbed by correlated nonadditive noises, and the delay is modeled by independent Bernoulli random variables.es_ES
dc.description.sponsorshipThis work has been partially supported by the Ministerio de Ciencia e Innovación and the Junta de Andalucía through Projects MTM2008-05567 and P07-FQM-02701, respectively.es_ES
dc.language.isoenges_ES
dc.publisherHindawi Publishing Corporationes_ES
dc.subjectFiltering algorithmes_ES
dc.subjectNonlinear systemes_ES
dc.subjectNoisy measurementses_ES
dc.subjectBernoullies_ES
dc.titleUnscented Filtering from Delayed Observations with Correlated Noiseses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1155/2009/681593


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