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2018 22nd International Conference on System Theory Control and Computing Icstcc 2018 Proceedings(1)
2018 22nd International Conference on System Theory, Control and Computing, ICSTCC 2018 - Proceedings(1)
2024 IEEE International Conference on Automation 26th Congress of the Chilean Association of Automatic Control Ica Acca 2024(1)
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scopus(9)
Constrained maximum likelihood estimation for state space sampled-data models
Conference ObjectAbstract: The Expectation-Maximization algorithm is applied in this paper to estimate state-space sampled-dataPalabras claves:Constraints, Expectation-maximization, linear matrix inequalities, Maximum likelihood, system identificationAutores:Avila F., Donaire A., Juan C. Agüero, Yuz J.I.Fuentes:scopusEM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models
Conference ObjectAbstract: In this paper we address the problem of identifying a static errors-in-variables system. Our proposaPalabras claves:Errors-in-Variables, estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, OptimizationAutores:Carvajal R., Cedeno A.L., Juan C. Agüero, Orellana R.Fuentes:scopusModel Error Modeling for a Class of Multivariable Systems Utilizing Stochastic Embedding Approach with Gaussian Mixture Models
ArticleAbstract: Many real-world multivariable systems need to be modeled to capture the interconnected behavior of tPalabras claves:Expectation-maximization, Gaussian Mixture Model, Maximum likelihood, multivariable uncertainty modeling, Stochastic embeddingAutores:Carvajal R., Coronel M., Escarate P., Juan C. Agüero, Orellana R.Fuentes:scopusChannel Modeling Using Rayleigh and Rice Sum Approximation
OtherAbstract: In this paper we develop an identification technique for the multipath wireless channel utilizing aPalabras claves:Channel modeling, Expectation-maximization, Maximum likelihood, sum distribution approximationAutores:Carvajal R., Coronel M., Juan C. Agüero, Orellana R.Fuentes:scopusAn EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification
OtherAbstract: This paper concerns the identification of continuous-time systems in state-space form that are subjePalabras claves:Continuous-time systems, event-based sampling, Expectation-maximization, system identificationAutores:Cedeno A.L., Coronel M., Juan C. Agüero, Rodrigo A. González, Rojas C.R.Fuentes:scopusFinite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models
ArticleAbstract: In this paper a Maximum likelihood estimation algorithm for Finite Impulse Response Errors-in-VariabPalabras claves:Errors-in-Variables, estimation, Expectation-maximization, Gaussian mixture distribution, Maximum likelihoodAutores:Carvajal R., Cedeno A.L., Godoy B.I., Juan C. Agüero, Orellana R.Fuentes:scopusModel error modelling using a stochastic embedding approach with gaussian mixture models for FIR systems
Conference ObjectAbstract: In this paper a Maximum Likelihood estimation algorithm for error-model modelling using a stochasticPalabras claves:estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, Model errors, Stochastic embeddingAutores:Carvajal R., Goodwin G.C., Juan C. Agüero, Orellana R.Fuentes:scopusOn the uncertainty identification for linear dynamic systems using stochastic embedding approach with gaussian mixture models
ArticleAbstract: In control and monitoring of manufacturing processes, it is key to understand model uncertainty in oPalabras claves:Expectation-maximization, Gaussian Mixture Model, Maximum likelihood, Stochastic embedding, Uncertainty modelingAutores:Carvajal R., Escarate P., Juan C. Agüero, Orellana R.Fuentes:scopusMaximum Likelihood Infinite Mixture Distribution Estimation Utilizing Finite Gaussian Mixtures⁎
Conference ObjectAbstract: In this paper we develop a Maximum Likelihood estimation algorithm for the estimation of infinite miPalabras claves:Estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, OptimizationAutores:Carvajal R., Juan C. Agüero, Orellana R.Fuentes:scopus