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scopus(12)
A novel approach to model error modelling using the expectation- maximization algorithm
Conference ObjectAbstract: In this paper we develop a novel approach to model error modelling. There are natural links to otherPalabras claves:EM algorithm, model error modelling, system identificationAutores:Carvajal R., Delgado R.A., Goodwin G.C., Juan C. AgüeroFuentes:scopusA two-filter approach for state estimation utilizing quantized output data
ArticleAbstract: Filtering and smoothing algorithms are key tools to develop decision-making strategies and parameterPalabras claves:Gaussian sum filtering, Gaussian sum smoothing, Gauss–Legendre quadrature, Quantized data, State EstimationAutores:Albornoz R., Carvajal R., Cedeno A.L., Godoy B.I., Juan C. AgüeroFuentes:scopusEM-based identification of ARX systems having quantized output data
Conference ObjectAbstract: In this paper we develop a novel algorithm to identify an auto-regressive with exogenous signal systPalabras claves:Autores:Carvajal R., González K., Juan C. AgüeroFuentes:scopusEM-based identification of sparse FIR systems having quantized data
Conference ObjectAbstract: In this paper, we explore the identification of sparse FIR systems having quantized output data. OurPalabras claves:EM algorithm, Quantized estimation, regularization, Sparse optimizationAutores:Carvajal R., Godoy B.I., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes: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:scopusMaximum Likelihood Infinite Mixture Distribution Estimation Utilizing Finite Gaussian Mixtures<sup>⁎</sup>
Conference ObjectAbstract: In this paper we develop a Maximum Likelihood estimation algorithm for the estimation of infinite miPalabras claves:Estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, OptimizationAutores:Carvajal R., Juan C. Agüero, Orellana R.Fuentes:scopusIdentification of Continuous-Time Deterministic System utilizing Orthonormal Basis Functions and Sample Data
Conference ObjectAbstract: In this paper we address the identification problem of a continuous-time deterministic system. We coPalabras claves:continuous-time model, Least Square, orthonormal basis function of Laguerre, system identificationAutores:Carvajal R., Coronel M., Juan C. AgüeroFuentes:scopusIdentification of sparse FIR systems using a general quantisation scheme
ArticleAbstract: This paper presents an identification scheme for sparse FIR systems with quantised data. We considerPalabras claves:Maximum likelihood, Quantised systems, sparsity, system identificationAutores:Carvajal R., Godoy B.I., Goodwin G.C., Juan C. Agüero, Yuz J.I.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:scopusVibration 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:scopus