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Mohamed Abdalmoaty
Mohamed Abdalmoaty
Other namesMohamed Rasheed-Hilmy Abdalmoaty
Automatic Control Laboratory, ETH Zurich
Verified email at control.ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Linear Prediction Error Methods for Stochastic Nonlinear Models
MR Abdalmoaty, H Hjalmarsson
Automatica 105, 49-63, 2019
172019
Measures and LMIs for optimal control of piecewise-affine systems
MR Abdalmoaty, D Henrion, L Rodrigues
2013 European Control Conference (ECC), 3173-3178, 2013
162013
A simulated maximum likelihood method for estimation of stochastic Wiener systems
MR Abdalmoaty, H Hjalmarsson
2016 IEEE 55th Conference on Decision and Control (CDC), 3060-3065, 2016
112016
Identification of stochastic nonlinear models using optimal estimating functions
MRH Abdalmoaty, H Hjalmarsson
Automatica 119, 109055, 2020
82020
Application of a linear PEM estimator to a stochastic Wiener-Hammerstein benchmark problem
MR Abdalmoaty, H Hjalmarsson
IFAC-PapersOnLine 51 (15), 784-789, 2018
82018
Simulated pseudo maximum likelihood identification of nonlinear models
MR Abdalmoaty, H Hjalmarsson
IFAC-PapersOnLine 50 (1), 14058-14063, 2017
82017
Learning stochastic nonlinear dynamical systems using non-stationary linear predictors
M Abdalmoaty
KTH Royal Institute of Technology, 2017
82017
An integrated approach for modeling and identification of perfusion bioreactors via basis flux modes
D Rodrigues, MR Abdalmoaty, EW Jacobsen, V Chotteau, H Hjalmarsson
Computers & Chemical Engineering 149, 107238, 2021
72021
Identification of stochastic nonlinear dynamical models using estimating functions
M Abdalmoaty
KTH Royal Institute of Technology, 2019
62019
Identification of non-linear differential-algebraic equation models with process disturbances
MRH Abdalmoaty, O Eriksson, R Bereza, D Broman, H Hjalmarsson
2021 60th IEEE Conference on Decision and Control (CDC), 2300-2305, 2021
52021
Toward Tractable Global Solutions to Bayesian Point Estimation Problems via Sparse Sum-of-Squares Relaxations
D Rodrigues, MR Abdalmoaty, H Hjalmarsson
2020 American Control Conference (ACC), 1501-1506, 2020
52020
Toward Tractable Global Solutions to Maximum-Likelihood Estimation Problems via Sparse Sum-of-Squares Relaxations*
D Rodrigues, MR Abdalmoaty, H Hjalmarsson
2019 IEEE 58th Conference on Decision and Control (CDC), 3184-3189, 2019
42019
The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes]
MRH Abdalmoaty, H Hjalmarsson, B Wahlberg
IEEE Signal Processing Magazine 37 (6), 195-199, 2020
32020
Stochastic Approximation for Identification of Non-Linear Differential-Algebraic Equations with Process Disturbances
R Bereza, O Eriksson, MRH Abdalmoaty, D Broman, H Hjalmarsson
2022 IEEE 61st Conference on Decision and Control (CDC), 6712-6717, 2022
22022
Noise reduction in Laguerre-domain discrete delay estimation
M Abdalmoaty, A Medvedev
2022 IEEE 61st Conference on Decision and Control (CDC), 6254-6259, 2022
22022
DeepBayes—An estimator for parameter estimation in stochastic nonlinear dynamical models
A Ghosh, M Abdalmoaty, S Chatterjee, H Hjalmarsson
Automatica 159, 111327, 2024
12024
Frequency-Domain System Identification using Sum-of-Rational Optimization
M Abdalmoaty, JF Miller, M Yin, R Smith
ETH Zurich, 2023
12023
Continuous Time-Delay Estimation From Sampled Measurements
M Abdalmoaty, A Medvedev
IFAC-PapersOnLine 56 (2), 6982-6987, 2023
12023
DeepBayes--an estimator for parameter estimation in stochastic nonlinear dynamical models
A Ghosh, M Abdalmoaty, S Chatterjee, H Hjalmarsson
arXiv preprint arXiv:2205.02264, 2022
12022
Consistent estimators of stochastic MIMO Wiener models based on suboptimal predictors
MR Abdalmoaty, H Hjalmarsson
2018 IEEE Conference on Decision and Control (CDC), 3842-3847, 2018
12018
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