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scopus(4)
EM-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:scopusOn the uncertainty identification for linear dynamic systems using stochastic embedding approach with gaussian mixture models
ArticleAbstract: In control and monitoring of manufacturing processes, it is key to understand model uncertainty in oPalabras claves:Expectation-maximization, Gaussian Mixture Model, Maximum likelihood, Stochastic embedding, Uncertainty modelingAutores:Carvajal R., Escarate P., Juan C. Agüero, Orellana R.Fuentes:scopusOn the uncertainty modelling for linear continuous-time systems utilising sampled data and Gaussian mixture models
Conference ObjectAbstract: In this paper a Maximum Likelihood estimation algorithm for model error modelling in a continuous-tiPalabras claves:continuous-time model, Discrete-time model, Gaussian Mixture Model, Maximum likelihood, Stochastic embeddingAutores:Carvajal R., Coronel M., Delgado R.A., Escarate P., Juan C. Agüero, Orellana R.Fuentes: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:scopus