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Asymptotic 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:scopusAn algorithm for estimating time-varying commodity price models
Conference ObjectAbstract: Given the current financial crisis, there is renewed interest in modelling how the price of commoditPalabras claves:Autores:Godoy B.I., Goodwin G.C., Juan C. Agüero, Rojas A.J.Fuentes:scopusAn errors-in-variables method for non-stationary data with application to mineral exploration
ArticleAbstract: In this paper, an errors-in-variables (EIV) method is applied to the problem of model estimation forPalabras claves:Errors-in-variables identification, Noise cancellation, Non-stationary signalsAutores:Braslavsky J.H., Goodwin G.C., Juan C. Agüero, Lau K.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:scopusAn optimization-based algorithm for model selection using an approximation of Akaike's Information Criterion
Conference ObjectAbstract: In this paper, we consider an optimization approach for model selection using Akaike's Information CPalabras claves:Autores:Carvajal R., Juan C. Agüero, Urrutia G.Fuentes:scopusConditions for local convergence of maximum likelihood estimation for armax models
Conference ObjectAbstract: This paper analyzes the conditions for local convergence of Maximun Likelihood estimation for ARMAXPalabras claves:Convergence Analysis, Maximum likelihood principle, Parameter estimationAutores:Goodwin G.C., Juan C. Agüero, Skelton R.E.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:scopusContinuous-time system identification using indirect inference
Conference ObjectAbstract: Identification of continuous-time systems typically present problems due to the facts that one cannoPalabras claves:Continuous-time systems, parameter estimation, system identificationAutores:Alamir M., Juan C. Agüero, Welsh J.S.Fuentes: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:scopus