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dc.contributor.authorALARCÓN RAMOS, LUIS ÁNGEL-
dc.contributor.authorBERNAL JAQUES, ROBERTO-
dc.contributor.authorSCHAUM, ALEXANDER-
dc.coverage.spatial<dc:creator id="info:eu-repo/dai/mx/cvu/238864">LUIS ANGEL ALARCON RAMOS</dc:creator>-
dc.coverage.spatial<dc:creator id="info:eu-repo/dai/mx/cvu/235951">ALEXANDER SCHAUM</dc:creator>-
dc.coverage.spatial<dc:creator id="info:eu-repo/dai/mx/cvu/79830">ROBERTO BERNAL JAQUEZ</dc:creator>-
dc.coverage.temporal<dc:subject>info:eu-repo/classification/cti/7</dc:subject>-
dc.date.accessioned2020-06-22T20:03:36Z-
dc.date.available2020-06-22T20:03:36Z-
dc.date.issued2018-
dc.identifier.citationEntropy, vol. 20, núm. 3 (2018)en_US
dc.identifier.urihttp://ilitia.cua.uam.mx:8080/jspui/handle/123456789/482-
dc.description.abstract"The problem of stabilizing the spreading process to a prescribed probability distributionover a complex network is considered, where the dynamics of the nodes in the network is given by discrete-time Markov-chain processes. Conditions for the positioning and identification of actuators and sensors are provided, and sufficient conditions for the exponential stability of the desired distribution are derived. Simulations results for a network of N = 106 corroborate our theoretical findings."en_US
dc.description.sponsorshipEntropyen_US
dc.language.isoInglésen_US
dc.publisherInternational Society for Information Studiesen_US
dc.relation.haspart1099-4300-
dc.rightshttps://www.mdpi.com/1099-4300/20/3/204-
dc.rightshttps://doi.org/10.3390/e20030204-
dc.subjectRedes de computadorasen_US
dc.subjectAnálisis de sistemasen_US
dc.subjectProcesos de Markov - Procesamiento de datosen_US
dc.titleOutput-feedback control for discrete-time spreading models in complex networksen_US
dc.typeArtículoen_US
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