Mostrando 5 resultados de: 5
Filtros aplicados
Publisher
IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019(1)
IEEE Latin America Transactions(1)
IFAC Proceedings Volumes (IFAC-PapersOnline)(1)
IFAC-PapersOnLine(1)
Área temáticas
Ciencias de la computación(2)
Física aplicada(2)
Análisis(1)
Métodos informáticos especiales(1)
Probabilidades y matemática aplicada(1)
Origen
scopus(5)
An 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: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:scopusOn maximum likelihood estimation of continuous-time oscillators modelled as continuous-time autoregressive system
ArticleAbstract: In this paper, we address the problem of identifying a continuous-time oscillator. We use a continuoPalabras claves:Adaptive optics, continuous-time model, Maximum likelihood, Oscillators identification, VibrationsAutores:Carvajal R., Coronel M., Escarate P., González K., Juan C. AgüeroFuentes:scopusMaximum Likelihood Identification of a Continuous-Time Oscillator Utilizing Sampled Data
Conference ObjectAbstract: In this paper we analyze the likelihood function corresponding to a continuous-time oscillator utiliPalabras claves:Continuous Time System Estimation, Maximum Likelihood Methods, TIME SERIESAutores:Carvajal R., Coronel M., Escarate P., González K., Juan C. AgüeroFuentes:scopusMaximum Likelihood identification for Linear Dynamic Systems with finite Gaussian mixture noise distribution
Conference ObjectAbstract: This paper considers the identification of a linear dynamic system driven by a non-Gaussian noise diPalabras claves:Gaussian Mixture Model, Linear Dynamical Systems, Maximum likelihood, Non-Gaussian Noise DistributionAutores:Bittner G., Carvajal R., Juan C. Agüero, Orellana R.Fuentes:scopus