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Vibration model identification using the maximum likelihood method
Conference ObjectAbstract: Vibration effects acting in the science light path reduce the performance of the adaptive optics sysPalabras claves:Adaptive optics, Continuous-time oscillator, identification, Maximum likelihood, VibrationsAutores:Carvajal R., Coronel M., Escarate P., González K., Juan C. AgüeroFuentes: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:scopusConnections between incremental and continuous-time EM algorithm for state space identification
Conference ObjectAbstract: The EM algorithm has been successfully applied to obtain maximum likelihood estimates for state-spacPalabras claves:EM algorithm, Incremental models, Maximum likelihood, Sampled data, State-space identificationAutores:Alfaro J.A., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopusConstrained maximum likelihood estimation for state space sampled-data models
Conference ObjectAbstract: The Expectation-Maximization algorithm is applied in this paper to estimate state-space sampled-dataPalabras claves:Constraints, Expectation-maximization, linear matrix inequalities, Maximum likelihood, system identificationAutores:Avila F., Donaire A., Juan C. Agüero, Yuz J.I.Fuentes:scopusAn EM-based identification algorithm for a class of hybrid systems with application to power electronics
ArticleAbstract: In this paper we present an identification algorithm for a class of continuous-time hybrid systems.Palabras claves:Maximum likelihood, power conversion, system identificationAutores:Aguilera R.P., Godoy B.I., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopusAn 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: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: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:scopusModel error modelling using a stochastic embedding approach with gaussian mixture models for FIR systems
Conference ObjectAbstract: In this paper a Maximum Likelihood estimation algorithm for error-model modelling using a stochasticPalabras claves:estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, Model errors, Stochastic embeddingAutores:Carvajal R., Goodwin G.C., Juan C. Agüero, Orellana R.Fuentes:scopus