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Rafael Orellana
Rafael Orellana
Doctor in Electronics Engineering, USACH, Chile
Verified email at usach.cl - Homepage
Title
Cited by
Cited by
Year
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
172022
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
172021
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
172018
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
112019
Maximum likelihood infinite mixture distribution estimation utilizing finite Gaussian mixtures
R Orellana, R Carvajal, JC Agüero
IFAC-PapersOnLine 51 (15), 706-711, 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
102019
EM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models
AL Cedeno, R Orellana, R Carvajal, JC Agüero
IFAC-PapersOnLine 53 (2), 863-868, 2020
82020
Empirical Bayes estimation utilizing finite Gaussian mixture models
R Orellana, R Carvajal, JC Agüero
2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering …, 2019
72019
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
62020
Finite Impulse Response Errors-in-Variables system identification utilizing Approximated Likelihood and Gaussian Mixture Models
AL Cedeño, R Orellana, R Carvajal, BI Godoy, JC Agüero
IEEE Access 11, 24615 - 24630, 2023
32023
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
32021
Effect of decoupling techniques in multivariable systems
RAO Prato, RDR Sulbaran
Ingeniería y Desarrollo 35 (2), 2017
3*2017
A Bayesian Filtering Method for Wiener State-Space Systems Utilizing a Piece-wise Linear Approximation
AL Cedeño, R Orellana, R Carvajal, JC Agüero
IFAC-PapersOnLine 56 (2), 10246-10251, 2023
22023
An Identification Method for Stochastic Continuous-Time Disturbances in Adaptive Optics Systems
M Coronel, R Orellana, R Carvajal, P Escárate, JC Agüero
IFAC-PapersOnLine 56 (2), 4228-4233, 2023
22023
Modelling and estimation of adaptive optics-corrected long-exposure point spread function using Gaussian sum approximation
P Escárate, B Osorio, C Zamorano, M Coronel, R Orellana, JC Agüero, ...
Monthly Notices of the Royal Astronomical Society 535 (4), 3517-3524, 2024
2024
Nonlinear State Estimation for a Class of Piezoelectric Actuator Model
AL Cedeño, I Díaz, R Orellana, M Coronel, H Ramírez, JC Agüero
2024 IEEE International Conference on Automation/XXVI Congress of the …, 2024
2024
Takagi-Sugeno Fuzzy Control of the Cart-Inverted Pendulum System: Linear Matrix Inequalities Application
S Reyes, H El Aiss, R Orellana, KA Barbosa
2024 IEEE International Conference on Automation/XXVI Congress of the …, 2024
2024
Channel Modeling Using Rayleigh and Rice Sum Approximation
R Carvajal, R Orellana, M Coronel, JC Agüero
2024 IEEE International Conference on Automation/XXVI Congress of the …, 2024
2024
A Novel Identification Method for Continuous-Time Stochastic Systems Utilizing Tsai's Approximation and Sampled Data
M Coronel, R Orellana, AL Cedeño, J Cepeda, JC Agüero
2024 IEEE ANDESCON, 1-6, 2024
2024
Maximum Likelihood Estimation for an SAG Mill Model utilizing Physical Available Measurements
AL Cedeño, M Coronel, R Orellana, P Varas, R Carvajal, BI Godoy, ...
IEEE Access, 2024
2024
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