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scopus(9)
Connections 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:scopusDiscussion 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 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:scopusSampling and sampled-data models: The interface between the continuous world and digital algorithms
ArticleAbstract: Modern signal processing and control algorithms are invariably implemented digitally, yet most real-Palabras claves:Autores:Cea M., Goodwin G.C., Juan C. Agüero, Salgado M.E., Yuz J.I.Fuentes:scopusRobust identification of process models from plant data
ArticleAbstract: A precursor to any advanced control solution is the step of obtaining an accurate model of the procePalabras claves:Closed Loop Identification, Robust identificationAutores:Adams G.J., Goodwin G.C., Juan C. Agüero, Rojas C.R., Welsh J.S., Yuz J.I.Fuentes:scopusSystem identification using quantized data
Conference ObjectAbstract: In this paper we consider the problem of identification of linear systems using quantized data. We aPalabras claves:Autores:Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopus