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1

Identification of stochastic nonlinear models using optimal estimating functions

Abdalmoaty, Mohamed Rasheed-Hilmy, Hjalmarsson, HÃ¥kan

Journal:

Year:

2020

File:

PDF, 747 KB

2020

2

The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes]

Abdalmoaty, Mohamed Rasheed-Hilmy, Hjalmarsson, Hakan, Wahlberg, Bo

Journal:

IEEE Signal Processing Magazine

Year:

2020

File:

PDF, 476 KB

2020

3

[IEEE 2016 IEEE 55th Conference on Decision and Control (CDC) - Las Vegas, NV, USA (2016.12.12-2016.12.14)] 2016 IEEE 55th Conference on Decision and Control (CDC) - A simulated maximum likelihood method for estimation of stochastic Wiener systems

Abdalmoaty, Mohamed Rasheed, Hjalmarsson, Hakan

Year:

2016

Language:

english

File:

PDF, 267 KB

english, 2016

4

Simulated Pseudo Maximum Likelihood Identification of Nonlinear Models

Abdalmoaty, Mohamed Rasheed, Hjalmarsson, Håkan

Journal:

IFAC-PapersOnLine

Year:

2017

Language:

english

File:

PDF, 510 KB

english, 2017

5

Linear prediction error methods for stochastic nonlinear models

Abdalmoaty, Mohamed Rasheed-Hilmy, Hjalmarsson, Håkan

Journal:

Year:

2019

Language:

english

File:

PDF, 830 KB

english, 2019

6

[IEEE 2018 IEEE Conference on Decision and Control (CDC) - Miami Beach, FL (2018.12.17-2018.12.19)] 2018 IEEE Conference on Decision and Control (CDC) - Consistent Estimators of Stochastic MIMO Wiener Models Based on Suboptimal Predictors

Abdalmoaty, Mohamed Rasheed, Hjalmarsson, Hakan

Year:

2018

Language:

english

File:

PDF, 407 KB

english, 2018

7

Application of a Linear PEM Estimator to a Stochastic Wiener-Hammerstein Benchmark Problem

Abdalmoaty, Mohamed Rasheed, Hjalmarsson, Håkan

Journal:

IFAC-PapersOnLine

Year:

2018

Language:

english

File:

PDF, 714 KB

english, 2018