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A Gaussian Sum Smoothing algorithm for Hammerstein-Wiener State-Space Systems
Conference ObjectAbstract: In this paper, we develop a novel Bayesian smoothing method for obtaining the smoothed probability dPalabras claves:Gaussian sum smoother, Hammerstein-Wiener systems, State Estimation, Two-filter formulaAutores:Carvajal R., Cedeno A.L., Juan C. AgüeroFuentes:scopusA Novel Bayesian Filtering Method for Systems with Quantized Output Data
Conference ObjectAbstract: In this paper we develop a novel scheme for state estimation of discrete-time linear time-invariantPalabras claves:Gaussian sum approximation, Quantized data, State EstimationAutores:Albornoz R., Carvajal R., Juan C. AgüeroFuentes:scopusA Novel Filtering Method for Hammerstein-Wiener State-Space Systems
Conference ObjectAbstract: In this paper, we develop a novel filtering algorithm for Hammerstein-Wiener State-Space Systems. ThPalabras claves:Gaussian Quadrature, Gaussian sum filter, Hammerstein-Wiener systems, State EstimationAutores:Carvajal R., Cedeno A.L., Juan C. AgüeroFuentes:scopusA filtering approach for model selection
Conference ObjectAbstract: In this paper, we propose an iterative algorithm to perform model selection. This algorithm is a seqPalabras claves:Autores:Carvajal R., Godoy B.I., Juan C. Agüero, Yuz J.I.Fuentes:scopusA method to deconvolve stellar rotational velocities III. The probability distribution function via maximum likelihood utilizing finite distribution mixtures
ArticleAbstract: Aims. The study of accurate methods to estimate the distribution of stellar rotational velocities isPalabras claves:Methods: analytical, methods: data analysis, methods: numerical, Methods: statistical, Stars: fundamental parameters, Stars: rotationAutores:Carvajal R., Christen A., Curé M., Escarate P., Juan C. Agüero, Orellana R.Fuentes:scopusA neural approximation to the explicit solution of constrained linear MPC
Conference ObjectAbstract: The solution to constrained linear model predictive control (MPC) problems can be pre-computed off-lPalabras claves:Approximation, Constrained linear control, Explicit solution, Model Pbkp_redictive Control, Neural networksAutores:Goodwin G.C., Haimovich H., Juan C. Agüero, Seron M.M.Fuentes:scopusA 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 novel input design approach for systems with quantized output data
Conference ObjectAbstract: In this paper, we explore the problem of input design for systems with quantized measurements. For tPalabras claves:Autores:Godoy B.I., Juan C. Agüero, Ninness B., Rojas C.R., Valenzuela P.E.Fuentes:scopusA numerical study of time and frequency domain maximum likelihood estimation
Conference ObjectAbstract: Different maximum likelihood formulations have been proposed in the literature for dynamic system IdPalabras claves:Frequency domain, maximum likelihood estimation, system identificationAutores:Delgado R.A., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopusA 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:scopus