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A 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: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:scopusEM-based identification of sparse FIR systems having quantized data
Conference ObjectAbstract: In this paper, we explore the identification of sparse FIR systems having quantized output data. OurPalabras claves:EM algorithm, Quantized estimation, regularization, Sparse optimizationAutores:Carvajal R., Godoy B.I., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopusTwo-degree-of-freedom anti-aliasing technique for wide-band networked control
Conference ObjectAbstract: In this paper we propose a new anti-aliasing technique for wide band networked control schemes. We sPalabras claves:Autores:Delgado R.A., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopusSampled data Errors-in-Variables systems
Conference ObjectAbstract: Errors-in-Variables systems have been extensively studied in the literature. We study the impact ofPalabras claves:Errors-in-Variables, Identifiability, Sampled-data modelsAutores:Goodwin G.C., Juan C. Agüero, Söderström T., Yuz J.I.Fuentes:scopusRelative error issues in sampled data models
Conference ObjectAbstract: Most real world systems operate in continuous time. However, to store, analyze or transmit data fromPalabras claves:Error quantificationAutores:Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopus