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Discussion on: "Identification of ARX and ARARX models in the presence of input and output noises"
ArticleAbstract:Palabras claves:Autores:Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopusOn frequency-domain maximum likelihood identification of state-space time-varying systems
Conference ObjectAbstract: This paper addresses the problem of identifying state-space models for time-varying systems using maPalabras claves:Frequency domain, identification, Maximum likelihood, Time-varying systemsAutores:Halat S.M., Juan C. Agüero, 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:scopusIdentification of state-space systems using a dual time-frequency domain approach
Conference ObjectAbstract: In this paper we obtain the maximum likelihood estimate of the parameters of discrete-time state-spaPalabras claves:Autores:Goodwin G.C., Juan C. Agüero, Tang W., Yuz J.I.Fuentes:scopusSampling and sampled-data models
Conference ObjectAbstract: Physical systems typically evolve continuously whereas modern controllers and signal processing deviPalabras claves:Autores:Cea M., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopus