A recursive algorithm for estimating multiple models continuous transfer function with non-uniform sampling

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dc.creatorAnísio Rogério Braga
dc.creatorWalmir Caminhas
dc.creatorCarmela Maria Polito Braga
dc.date.accessioned2025-04-25T13:09:38Z
dc.date.accessioned2025-09-08T22:56:09Z
dc.date.available2025-04-25T13:09:38Z
dc.date.issued2018
dc.identifier.doihttps://doi.org/10.1080/00207721.2018.1440024
dc.identifier.issn0020-7721
dc.identifier.urihttps://hdl.handle.net/1843/81842
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational journal of systems science
dc.rightsAcesso Restrito
dc.subjectModelos matemáticos
dc.subject.otherSystem identification
dc.subject.otherNon-uniform sampling
dc.subject.otherRecursive least squares
dc.subject.otherMultiple models
dc.subject.otherContinuous transfer functions
dc.titleA recursive algorithm for estimating multiple models continuous transfer function with non-uniform sampling
dc.typeArtigo de periódico
local.citation.epage1145
local.citation.issue6
local.citation.spage1131
local.citation.volume49
local.description.resumoA multiple model recursive least squares algorithm combined with a first-order low-pass filter transformation method, named λ-transform, is proposed for the simultaneous identification of multiple model orders continuous transfer functions from non-uniformly sampled input–output data. The λ-transformation is shown to be equivalent to a canonical transformation between discrete z-domain and δ-domain using the negative value of the λ-transform filter time-constant instead of the sampling interval parameter. The proposed algorithm deals with oversampling, sampling jitter or non-uniform sample intervals without the need for extra digital anti-aliasing pre-filtering, downsampling or interpolation algorithms, producing multiple models with a cost function that facilitates automatic selection of best-fitted models. Besides, measurement noise is noted as beneficial, bringing up an inherent bias toward low-order models. Simulated examples and a drum-boiler level experimental result exhibiting non-minimum phase behaviour illustrate the application of the proposed method.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.tandfonline.com/doi/full/10.1080/00207721.2018.1440024

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