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Rafael Orellana
Rafael Orellana
Doctor in Electronics Engineering, UTFSM, Chile
Verified email at usm.cl - Homepage
Title
Cited by
Cited by
Year
A data augmentation approach for a class of statistical inference problems
R Carvajal, R Orellana, D Katselis, P Escárate, JC Agüero
PloS one 13 (12), e0208499, 2018
112018
Maximum Likelihood identification for Linear Dynamic Systems with finite Gaussian mixture noise distribution
G Bittner, R Orellana, R Carvajal, JC Agüero
2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering …, 2019
92019
Maximum likelihood infinite mixture distribution estimation utilizing finite Gaussian mixtures
R Orellana, R Carvajal, JC Agüero
IFAC-PapersOnLine 51 (15), 706-711, 2018
92018
On the uncertainty identification for linear dynamic systems using stochastic embedding approach with gaussian mixture models
R Orellana, R Carvajal, P Escárate, JC Agüero
Sensors 21 (11), 3837, 2021
82021
A method to deconvolve stellar rotational velocities-III. The probability distribution function via maximum likelihood utilizing finite distribution mixtures
R Orellana, P Escarate, M Cure, A Christen, R Carvajal, JC Agüero
Astronomy & Astrophysics 623, A138, 2019
72019
EM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models
AL Cedeño, R Orellana, R Carvajal, JC Agüero
IFAC-PapersOnLine 53 (2), 863-868, 2020
62020
Empirical Bayes estimation utilizing finite Gaussian mixture models
R Orellana, R Carvajal, JC Agüero
2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering …, 2019
62019
Maximum Likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution
R Orellana, G Bittner, R Carvajal, JC Agüero
Automatica 135, 109937, 2022
52022
Model error modelling using a stochastic embedding approach with Gaussian mixture models for FIR systems
R Orellana, R Carvajal, JC Agüero, GC Goodwin
IFAC-PapersOnLine 53 (2), 845-850, 2020
52020
On the uncertainty modelling for linear continuous-time systems utilising sampled data and Gaussian mixture models
R Orellana, M Coronel, R Carvajal, RA Delgado, P Escárate, JC Agüero
IFAC-PapersOnLine 54 (7), 589-594, 2021
22021
Effect of decoupling techniques in multivariable systems
RAO Prato, RDR Sulbaran
Ingeniería y Desarrollo 35 (2), 2017
2*2017
A Stochastic Embedding Approach for Linear System Uncertainty Modeling Utilizing Finite Mixture Distributions
R Orellana
Universidad Técnica Federico Santa María, 2021
2021
Estimación empírica bayesiana utilizando suma de distribuciones gaussianas
RAO Prato
UNIVERSIDAD TÉCNICA FEDERICO SANTA MARÍA, 2020
2020
A Sliding Mode Control Strategy for Cascade Systems
M Coronel, R Orellana, L Mora, R Rojas, JC Agüero
IEEE Latin America Transactions 17 (09), 1410-1417, 2019
2019
ANALISIS DE SENSIBILIDAD Y APLICACIÓN DE LA ESTRTEGIA DE CONTROL POR PROGRAMACION DE GANANCIAS BASADA EN CONTROLADORES PID AL MODELO DE REGULACION DE GLUCOSA
O Pérez, R Rojas, M Coronel, R Orellana
Ingenieria al Dia 3 (1), 4-23, 2017
2017
Un nuevo enfoque del control por modo deslizante para sistemas multivariables
R Orellana, M Coronel, R Rojas, O Pérez
Ingeniería al Día 2 (2), 54-71, 2016
2016
CONCATENATED NON-BINARY LDPC CODES AND REED SOLOMON CODES
JO Lacruz, R Orellana, M Coronel
2016
DESIGN A GENERATION KEYS MODULE FOR RSA ENCRYPTION USING FPGA
R Orellana, JO Lacruz, M Coronel
2016
CONTROL MULTIVARIABLE POR MODO DESLIZANTE DE LA PRESIÓN
R Orellana, R Rojas
2012
CONTROL DE ESTRUCTURA VARIABLE POR MODO DESLIZANTE PARA SISTEMAS MULTIVARIABLES
R Orellana, R Rojas
2012
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Articles 1–20