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scopus(12)
An identification method for Errors-in-Variables systems using incomplete data
Conference ObjectAbstract: In this paper we develop a novel identification algorithm for Errors-in-Variables systems (representPalabras claves:Errors-in-Variables systems, Frequency domain identification, Incomplete data, Maximum likelihood, system identificationAutores:Carvajal R., Delgado R.A., Goodwin G.C., Juan C. AgüeroFuentes:scopusContinuous-time system identification using indirect inference
Conference ObjectAbstract: Identification of continuous-time systems typically present problems due to the facts that one cannoPalabras claves:Continuous-time systems, Parameter estimation, system identificationAutores:Alamir M., Juan C. Agüero, Welsh J.S.Fuentes:scopusApproximate em algorithms for parameter and state estimation in nonlinear stochastic models
Conference ObjectAbstract: Due to the availability of rapidly improving computer speeds, industry is increasingly using nonlinePalabras claves:Autores:Goodwin G.C., Juan C. AgüeroFuentes:scopusAccuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation
ArticleAbstract: In this paper, we study the accuracy of linear multiple-input multiple-output (MIMO) models obtainedPalabras claves:accuracy, maximum likelihood estimation, system identificationAutores:Goodwin G.C., Hjalmarsson H., Juan C. Agüero, Rojas C.R.Fuentes:scopusFundamental limitations on the variance of estimated parametric models
ArticleAbstract: In this technical note fundamental integral limitations are derived on the variance of estimated parPalabras claves:Single-input single-output (SISO)Autores:Juan C. Agüero, Rojas C.R., Welsh J.S.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:scopusEM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models
Conference ObjectAbstract: In this paper we address the problem of identifying a static errors-in-variables system. Our proposaPalabras claves:Errors-in-Variables, Estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, OptimizationAutores:Carvajal R., Cedeno A.L., Juan C. Agüero, Orellana R.Fuentes:scopusIdentifiability of EIV dynamic systems with non-stationary data
Conference ObjectAbstract: This paper presents novel results related to the identifiability of EIV dynamic systems based on expPalabras claves:Errors in variables identificationAutores:Goodwin G.C., Juan C. AgüeroFuentes:scopusOn maximum likelihood estimation of continuous-time oscillators modelled as continuous-time autoregressive system
ArticleAbstract: In this paper, we address the problem of identifying a continuous-time oscillator. We use a continuoPalabras claves:Adaptive optics, continuous-time model, Maximum likelihood, Oscillators identification, VibrationsAutores:Carvajal R., Coronel M., Escarate P., González K., Juan C. AgüeroFuentes:scopusMaximum Likelihood Identification of a Continuous-Time Oscillator Utilizing Sampled Data
Conference ObjectAbstract: In this paper we analyze the likelihood function corresponding to a continuous-time oscillator utiliPalabras claves:Continuous Time System Estimation, Maximum Likelihood Methods, TIME SERIESAutores:Carvajal R., Coronel M., Escarate P., González K., Juan C. AgüeroFuentes:scopus