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IFAC Proceedings Volumes (IFAC-PapersOnline)(2)
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Proceedings of the IEEE Conference on Decision and Control(2)
2004 5th Asian Control Conference(1)
2013 European Control Conference, ECC 2013(1)
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scopus(17)
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 Gaussian Sum Smoothing algorithm for Hammerstein-Wiener State-Space Systems
Conference ObjectAbstract: In this paper, we develop a novel Bayesian smoothing method for obtaining the smoothed probability dPalabras claves:Gaussian sum smoother, Hammerstein-Wiener systems, State Estimation, Two-filter formulaAutores:Carvajal R., Cedeno A.L., Juan C. AgüeroFuentes:scopusA Novel Bayesian Filtering Method for Systems with Quantized Output Data
Conference ObjectAbstract: In this paper we develop a novel scheme for state estimation of discrete-time linear time-invariantPalabras claves:Gaussian sum approximation, Quantized data, State EstimationAutores:Albornoz R., Carvajal R., Juan C. AgüeroFuentes:scopusA neural approximation to the explicit solution of constrained linear MPC
Conference ObjectAbstract: The solution to constrained linear model predictive control (MPC) problems can be pre-computed off-lPalabras 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 recursive algorithm for MIMO stochastic model estimation
Conference ObjectAbstract: Multivariable system identification is known to be a difficult problem. In part, this is due to thePalabras claves:Autores: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:scopusAn algorithm for estimating time-varying commodity price models
Conference ObjectAbstract: Given the current financial crisis, there is renewed interest in modelling how the price of commoditPalabras claves:Autores:Godoy B.I., Goodwin G.C., Juan C. Agüero, Rojas A.J.Fuentes:scopusAn optimization-based algorithm for model selection using an approximation of Akaike's Information Criterion
Conference ObjectAbstract: In this paper, we consider an optimization approach for model selection using Akaike's Information CPalabras claves:Autores:Carvajal R., Juan C. Agüero, Urrutia G.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:scopus