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scopus(52)
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 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 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 recursive algorithm for MIMO stochastic model estimation
Conference ObjectAbstract: Multivariable system identification is known to be a difficult problem. In part, this is due to thePalabras claves:Autores: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: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: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:scopus