Reduced Order Observer Applied to a Linear Parameter Varying System with Unknown Input

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dc.creatorBernardi, Emanuel
dc.creatorAdam, Eduardo J.
dc.date.accessioned2019-04-15T00:01:50Z
dc.date.available2019-04-15T00:01:50Z
dc.date.issued2018-11-09
dc.description.abstractThis paper presents the design of a reduced order observer applied to a Linear Parameter Varying (LPV) system with unknown input. This procedure is employed to develop an actuator Fault Detection and Isolation (FDI) scheme. The observer’s design and its stability conditions are guaranteed in terms of a Linear Matrix Inequalities (LMI). Two typical chemical industries processes examples are given to illustrate the use and performance of such approach.es_ES
dc.description.affiliationFil: Bernardi Emanuel. Facultad Regional San Francisco, Universidad Tecnológica Nacional, San Francisco, Argentina.es_ES
dc.description.affiliationFil: Adam Eduardo J.. Facultad de Ingenierı́a Quı́mica, Universidad Nacional del Litoral, Santa Fe, Argentina.es_ES
dc.description.peerreviewedPeer Reviewedes_ES
dc.formattext/plaines_ES
dc.identifier.citationReduced Order Observer Applied to a Linear Parameter Varying System with Unknown Input; Emanuel Bernardi, Eduardo Adam; 09/11/2018es_ES
dc.identifier.doi10.23919/AADECA.2018.8577337
dc.identifier.isbn978-987-46859-0-2
dc.identifier.urihttp://hdl.handle.net/20.500.12272/3532
dc.language.isoenges_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.rights.useLibrees_ES
dc.rights.useAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.subjectstate estimationes_ES
dc.subjectlinear matrix inequalitieses_ES
dc.subjectfault detectiones_ES
dc.subjectfault diagnosises_ES
dc.subjectnonlinear systemses_ES
dc.titleReduced Order Observer Applied to a Linear Parameter Varying System with Unknown Inputes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.snrdinfo:ar-repo/semantics/artículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES

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