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dc.contributor.authorBattistelli, G.
dc.contributor.authorChisci, L.
dc.contributor.authorMorrocchi, S.
dc.contributor.authorPapi, Francesco
dc.date.accessioned2017-01-30T10:39:04Z
dc.date.available2017-01-30T10:39:04Z
dc.date.created2015-10-29T04:09:49Z
dc.date.issued2011
dc.identifier.citationBattistelli, G. and Chisci, L. and Morrocchi, S. and Papi, F. 2011. An information-theoretic approach to distributed state estimation, in Bittanti, S. and Cenedese, A. and and Zampieri, S. (ed), Proceedings of the 18th World Congress of the International Federation of Automatic Control (IFAC), Aug 28-Sep 2 2011, pp. 12477-12482. Milano, Italy, Catholic University of the Sacred Heart.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/4438
dc.identifier.doi10.3182/20110828-6-IT-1002.01998
dc.description.abstract

It is shown that the covariance intersection fusion rule, widely used in the context of distributed estimation, has a nice information-theoretic interpretation in terms of consensus on the Kullback-Leibler average of Gaussian probability density functions (PDFs). Based on this observation, a novel distributed state estimator based on the consensus among local posterior PDFs is proposed and its stability properties are analyzed.

dc.titleAn information-theoretic approach to distributed state estimation
dc.typeConference Paper
dcterms.source.volume18
dcterms.source.numberPART 1
dcterms.source.startPage12477
dcterms.source.endPage12482
dcterms.source.titleIFAC Proceedings Volumes (IFAC-PapersOnline)
dcterms.source.seriesIFAC Proceedings Volumes (IFAC-PapersOnline)
dcterms.source.isbn9783902661937
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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