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A virtual closed loop method for closed loop identification
ArticleAbstract: Indirect methods for the identification of linear plant models on the basis of closed loop data arePalabras claves:Closed Loop Identification, system identificationAutores:Goodwin G.C., Juan C. Agüero, Van Den Hof P.M.J.Fuentes:scopusAsymptotic statistical analysis for model-based control design strategies
ArticleAbstract: In this paper, we generalize existing fundamental limitations on the accuracy of the estimation of dPalabras claves:Maximum likelihood, Model-based control, system identificationAutores:Esparza A., Godoy B.I., Juan C. Agüero, Rojas C.R.Fuentes: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:scopusAn errors-in-variables method for non-stationary data with application to mineral exploration
ArticleAbstract: In this paper, an errors-in-variables (EIV) method is applied to the problem of model estimation forPalabras claves:Errors in variables identification, Noise cancellation, Non-stationary signalsAutores:Braslavsky J.H., Goodwin G.C., Juan C. Agüero, Lau K.Fuentes:scopusDual time-frequency domain system identification
Conference ObjectAbstract: In this paper we obtain the maximum likelihood estimate of the parameters of discrete-time linear moPalabras claves:Maximum likelihood, Robust system identificationAutores:Delgado R.A., Goodwin G.C., Juan C. Agüero, Tang W., Yuz J.I.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., Tao LiuFuentes:scopusMaximum Likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution
ArticleAbstract: In this paper a Maximum Likelihood estimation algorithm for a linear dynamic system driven by an exoPalabras claves:Expectation-maximization, Gaussian mixture noise distribution, Maximum likelihood, Non-minimum-phase transfer functionAutores:Bittner G., Carvajal R., Juan C. Agüero, Orellana R.Fuentes:scopusIdentifiability of errors in variables dynamic systems
ArticleAbstract: There has been substantial research carried out on the errors in variables (EIV) identifiability proPalabras claves:Errors-in-Variables, Identifiability, system identificationAutores:Goodwin G.C., Juan C. AgüeroFuentes:scopusScalability of bidirectional vehicle strings with static and dynamic measurement errors
Conference ObjectAbstract: Poor scalability arises in many vehicle platoon problems. Bidirectional strings appear to show somePalabras claves:Measurement errors, Measurement noise, Scalability, String stability, Vehicle stringsAutores:Donaire A., Juan C. Agüero, Knorn S., Middleton R.H.Fuentes:scopusIdentification of Wiener state–space models utilizing Gaussian sum smoothing
ArticleAbstract: In this paper, we address the problem of system identification for Wiener state–space models. Our apPalabras claves:EM algorithm, Maximum likelihood, Piecewise polynomial, Wiener system identificationAutores:Carvajal R., Cedeno A.L., Juan C. Agüero, Rodrigo A. GonzálezFuentes:scopus