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dc.contributor.authorGuo, Pengfei
dc.contributor.authorZhang, Jie
dc.contributor.authorKarimi, Hamid Reza
dc.contributor.authorLiu, Yurong
dc.contributor.authorLyu, Ming
dc.contributor.authorBo, Yuming
dc.date.accessioned2014-08-25T10:34:34Z
dc.date.available2014-08-25T10:34:34Z
dc.date.issued2014
dc.identifier.citationGuo, P., Zhang, J., Karimi, H. R., Liu, Y., Lyu, M., & Bo, Y. (2014). State estimation for wireless network control system with stochastic uncertainty and time delay based on sliding mode observer. Abstract and Applied Analysis, 2014, 1-8. doi: 10.1155/2014/303840nb_NO
dc.identifier.issn1687-0409
dc.identifier.urihttp://hdl.handle.net/11250/217992
dc.descriptionPublished version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/303840 Open Accessnb_NO
dc.description.abstractState estimation problem is considered for a kind of wireless network control system with stochastic uncertainty and time delay. A sliding mode observer is designed for the system under the situation that no missing measurement occurs and system uncertainty happens in a stochastic way. The observer designed for the system can guarantee the system states will be driven onto the sliding surface under control law, and the sliding motion of system states on sliding surface will be stable. By constructing proper Lyapunov-Krasovskii functional, sufficient conditions are acquired via linear matrix inequality. Finally, simulation result is employed to show the effectiveness of the proposed method.nb_NO
dc.language.isoengnb_NO
dc.publisherHindawi Publishing Corporationnb_NO
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411nb_NO
dc.titleState estimation for wireless network control system with stochastic uncertainty and time delay based on sliding mode observernb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.pagenumber1-8nb_NO
dc.source.journalAbstract and Applied Analysisnb_NO
dc.identifier.doi10.1155/2014/303840


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