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An 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: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 representation of rank constraints for real matrices
ArticleAbstract: We present a novel representation of rank constraints for non-square real matrices. We establish relPalabras claves:Low-rank approximation, Rank-minimization, sparse representationAutores:Delgado R.A., Goodwin G.C., Juan C. AgüeroFuentes: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 rank-constrained optimization approach: Application to factor analysis
Conference ObjectAbstract: In this paper, we present a general method for rank-constrained optimization. We use an iterative coPalabras claves:Autores:Delgado R.A., Goodwin G.C., Juan C. AgüeroFuentes:scopusApplication of Rank-Constrained Optimisation to Nonlinear System Identification
Conference ObjectAbstract: Nonlinear System Identification has a rich history spanning at least 5 decades. A very flexible apprPalabras claves:Autores:Delgado R.A., Goodwin G.C., Juan C. Agüero, Mendes E.M.A.M.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:scopusOn the equivalence of time and frequency domain maximum likelihood estimation
ArticleAbstract: Maximum likelihood estimation has a rich history. It has been successfully applied to many problemsPalabras claves:Frequency domain identification, maximum likelihood estimation, system identificationAutores:Delgado R.A., Goodwin G.C., Juan C. Agüero, Yuz J.I.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:scopusLow-order control design using a novel rank-constrained optimization approach
Conference ObjectAbstract: A recent equivalent representation of rank constraints is used to design a low-order controller withPalabras claves:Autores:Delgado R.A., Juan C. Agüero, Urrutia G.Fuentes:scopus