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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 EM-based identification algorithm for a class of hybrid systems with application to power electronics
ArticleAbstract: In this paper we present an identification algorithm for a class of continuous-time hybrid systems.Palabras claves:Maximum likelihood, power conversion, system identificationAutores:Aguilera R.P., Godoy B.I., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopusOn the end-performance metric estimator selection
ArticleAbstract: It is well known that appropriately biasing an estimator can potentially lead to a lower mean squarePalabras claves:Bias selection, End-performance metric, Estimation, Least squares, Maximum likelihoodAutores:Beck C.L., Godoy B.I., Juan C. Agüero, Katselis D., Rojas C.R.Fuentes: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:scopusScenario-based em identification for FIR systems having quantized output data
Conference ObjectAbstract: In this paper we describe a novel algorithm for estimating the parameters of a linear system when thPalabras claves:Maximum likelihood, Quantized signals, system identificationAutores:Godoy B.I., Goodwin G.C., Juan C. Agüero, Wigren T.Fuentes:scopus