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Proceedings of the IEEE Conference on Decision and Control(4)
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IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019(2)
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scopus(27)
Choosing between open- and closed-loop experiments in linear system identification
ArticleAbstract: This correspondence shows that open-loop experiments are optimal for a broad class of systems when tPalabras claves:Closed-loop systems, identification, Input designAutores:Goodwin G.C., Juan C. AgüeroFuentes:scopusA model-based feedback control strategy for heap bioleaching processes
Conference ObjectAbstract: In this paper we propose a feedback control strategy to increase the copper recovery in a heap biolePalabras claves:Autores:Braslavsky J.H., Godoy B.I., Juan C. AgüeroFuentes:scopusA neural approximation to the explicit solution of constrained linear MPC
Conference ObjectAbstract: The solution to constrained linear model pbkp_redictive control (MPC) problems can be pre-computed oPalabras claves:Approximation, Constrained linear control, Explicit solution, Model Pbkp_redictive Control, Neural networksAutores:Goodwin G.C., Haimovich H., Juan C. Agüero, Seron M.M.Fuentes: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 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: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 ARX systems having quantized output data
Conference ObjectAbstract: In this paper we develop a novel algorithm to identify an auto-regressive with exogenous signal systPalabras claves:Autores:Carvajal R., González K., Juan C. AgüeroFuentes:scopusEM-based identification of continuous-time ARMA Models from irregularly sampled data
ArticleAbstract: In this paper we present a novel algorithm for identifying continuous-time autoregressive moving-avePalabras claves:Continuous-time ARMA model, Expectation–Maximization, Irregularly sampled data, Maximum-likelihoodAutores:Chen F., Garnier H., Gilson M., Juan C. Agüero, Liu T.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:scopus