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2014 European Control Conference, ECC 2014(1)
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scopus(4)
Closed-loop identification of continuous-time systems from non-uniformly sampled data
Conference ObjectAbstract: In this paper, the instrumental variable (IV) and expectation-maximization (EM) methods are combinedPalabras claves:Autores:Chen F., Garnier H., Gilson M., Juan C. Agüero, Schorsch J.Fuentes:scopusEM-based identification of continuous-time ARMA Models from irregularly sampled data
ArticleAbstract: In this paper we present a novel algorithm for identifying continuous-time autoregressive moving-avePalabras claves:Continuous-time ARMA model, Expectation–Maximization, Irregularly sampled data, Maximum-likelihoodAutores:Chen F., Garnier H., Gilson M., Juan C. Agüero, Liu T.Fuentes:scopusIdentification of continuous-time transfer function models from non-uniformly sampled data in presence of colored noise
Conference ObjectAbstract: This paper considers the problem of continuous-time model identification from non-uniformly sampledPalabras claves:CARMA model estimation, Continuous-time models, Instrumental variable, Non-uniform sampling, system identificationAutores:Chen F., Garnier H., Gilson M., Godoy B.I., Juan C. AgüeroFuentes:scopusRefined instrumental variable parameter estimation of continuous-time Box-Jenkins models from irregularly sampled data
ArticleAbstract: This study investigates the estimation of continuous-time Box-Jenkins model parameters from irregulaPalabras claves:Autores:Chen F., Garnier H., Gilson M., Juan C. Agüero, Liu T.Fuentes:scopus