Revisiting the TP model transformation : interpolation and rule reduction.

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dc.contributor.authorCampos, Victor Costa da Silva
dc.contributor.authorTôrres, Leonardo Antônio Borges
dc.contributor.authorPalhares, Reinaldo Martinez
dc.date.accessioned2017-07-28T18:05:44Z
dc.date.available2017-07-28T18:05:44Z
dc.date.issued2015
dc.description.abstractThe tensor-product (TP) model transformation is a numerical technique that finds a convex representation, akin to aTakagi-Sugeno (TS) fuzzy model, from a given linear parameter varying (LPV) model of a system. It samples the LPV modelover a limited domain, which allows the use of the higher order singular value decomposition (HOSVD) and convex transfor-mations that leads to the TS representation of the LPV model. In this paper, we discuss different strategies that could be usedon the sampling step of the TP model transformation (which in turn lead to different membership function properties of a TSfuzzy model). Additionally, this paper discusses how the other steps could be used to reduce the number of rules of a given TSfuzzy model. In cases where nonzero singular values were discarded in the rule reduction, we also show how to obtain anuncertain model that covers the original.pt_BR
dc.identifier.citationCAMPOS, V. C. da S.; TÔRRES, L. A. B.; PALHARES, R. M. Revisiting the TP model transformation: interpolation and rule reduction. Asian Journal of Control, v. 17, n. 2, p. 392-401, mar. 2015. Disponível em: <http://onlinelibrary.wiley.com/doi/10.1002/asjc.866/abstract>. Acesso em: 28 jul. 2017.pt_BR
dc.identifier.doihttps://doi.org/10.1002/asjc.866
dc.identifier.issn1934-6093
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/8369
dc.identifier.uri2http://onlinelibrary.wiley.com/doi/10.1002/asjc.866/abstractpt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectTensor-product model transformationpt_BR
dc.subjectInterpolationpt_BR
dc.subjectRule reductionpt_BR
dc.subjectUncertaintypt_BR
dc.subjectLinear matrix inequalitiespt_BR
dc.titleRevisiting the TP model transformation : interpolation and rule reduction.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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