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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:scopusA rank-constrained optimization approach: Application to factor analysis
Conference ObjectAbstract: In this paper, we present a general method for rank-constrained optimization. We use an iterative coPalabras claves:Autores:Delgado R.A., Goodwin G.C., Juan C. AgüeroFuentes:scopusA simulation study on model predictive control and extremum seeking control for heap bioleaching pro
Conference ObjectAbstract: Heap bioleaching processes are of increasing interest in the mining industry to recover metals fromPalabras claves:Model pbkp_redictive and optimization-based control, Nonlinear process control, Process control applicationsAutores:Braslavsky J.H., Godoy B.I., Juan C. AgüeroFuentes:scopusAn 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:scopusConditions for local convergence of maximum likelihood estimation for armax models
Conference ObjectAbstract: This paper analyzes the conditions for local convergence of Maximun Likelihood estimation for ARMAXPalabras claves:Convergence Analysis, Maximum likelihood principle, Parameter estimationAutores:Goodwin G.C., Juan C. Agüero, Skelton R.E.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: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:scopusApplication of non-stationary EIV methods to transient electromagnetic mineral exploration
Conference ObjectAbstract: In this paper, we apply a non-stationary errors-in-variables model estimation technique to a problemPalabras claves:Errors in variables identificationAutores:Braslavsky J.H., Goodwin G.C., Juan C. Agüero, Lau K.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:scopusIdentifiability of EIV dynamic systems with non-stationary data
Conference ObjectAbstract: This paper presents novel results related to the identifiability of EIV dynamic systems based on expPalabras claves:Errors in variables identificationAutores:Goodwin G.C., Juan C. AgüeroFuentes:scopus