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A 2-step algorithm for the estimation of time-varying single particle tracking models using Maximum Likelihood
Conference ObjectAbstract: Single particle tracking (SPT) is a powerful class of methods for studying the dynamics of biomolecuPalabras claves:Autores:Andersson S.B., Godoy B.I., Juan C. Agüero, Lin Y.Fuentes:scopusA filtering approach for model selection
Conference ObjectAbstract: In this paper, we propose an iterative algorithm to perform model selection. This algorithm is a seqPalabras claves:Autores:Carvajal R., Godoy B.I., Juan C. Agüero, Yuz J.I.Fuentes:scopusA map approach for ℓq-norm regularized sparse parameter estimation using the em algorithm
Conference ObjectAbstract: In this paper, Bayesian parameter estimation through the consideration of the Maximum A Posteriori (Palabras claves:convergence, maximum likelihood estimation, optimization, parameter estimation, Probability density function, Signal processing algorithmsAutores:Carvajal R., Godoy B.I., Juan C. Agüero, Katselis D.Fuentes: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 novel input design approach for systems with quantized output data
Conference ObjectAbstract: In this paper, we explore the problem of input design for systems with quantized measurements. For tPalabras claves:Autores:Godoy B.I., Juan C. Agüero, Ninness B., Rojas C.R., Valenzuela P.E.Fuentes: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, Model predictive and optimization-based control, Nonlinear process control, Process control applicationsAutores:Braslavsky J.H., Godoy B.I., 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:scopusAsymptotic statistical analysis for model-based control design strategies
ArticleAbstract: In this paper, we generalize existing fundamental limitations on the accuracy of the estimation of dPalabras claves:Maximum likelihood, Model-based control, system identificationAutores:Esparza A., Godoy B.I., Juan C. Agüero, Rojas C.R.Fuentes:scopusAn EM-based estimation algorithm for a class of systems promoting sparsity
Conference ObjectAbstract: In this paper we propose a Maximum a Posteriori (MAP) approach for estimating a random sparse paramePalabras claves:Autores:Carvajal R., Godoy B.I., Juan C. AgüeroFuentes:scopusAn EM-based identification algorithm for a class of hybrid systems with application to power electronics
ArticleAbstract: In this paper we present an identification algorithm for a class of continuous-time hybrid systems.Palabras claves:Maximum likelihood, power conversion, system identificationAutores:Aguilera R.P., Godoy B.I., Goodwin G.C., Juan C. Agüero, Yuz J.I.Fuentes:scopus