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Mohamed Abdalmoaty
Mohamed Abdalmoaty
Systems and Control, Uppsala University
Verified email at it.uu.se - Homepage
Title
Cited by
Cited by
Year
Linear Prediction Error Methods for Stochastic Nonlinear Models
MR Abdalmoaty, H Hjalmarsson
Automatica 105, 49-63, 2019
142019
Measures and LMIs for optimal control of piecewise-affine systems
MR Abdalmoaty, D Henrion, L Rodrigues
2013 European Control Conference (ECC), 3173-3178, 2013
142013
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
Learning stochastic nonlinear dynamical systems using non-stationary linear predictors
M Abdalmoaty
KTH Royal Institute of Technology, 2017
82017
Application of a linear PEM estimator to a stochastic Wiener-Hammerstein benchmark problem
MR Abdalmoaty, H Hjalmarsson
IFAC-PapersOnLine 51 (15), 784-789, 2018
72018
Simulated pseudo maximum likelihood identification of nonlinear models
MR Abdalmoaty, H Hjalmarsson
IFAC-PapersOnLine 50 (1), 14058-14063, 2017
62017
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
52021
Identification of stochastic nonlinear dynamical models using estimating functions
M Abdalmoaty
KTH Royal Institute of Technology, 2019
52019
Identification of stochastic nonlinear models using optimal estimating functions
MRH Abdalmoaty, H Hjalmarsson
Automatica 119, 109055, 2020
42020
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
32019
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
22020
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
12020
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
On Re-weighting, Regularization Selection, and Transient in Nuclear Norm based Identification
M Abdalmoaty, H Hjalmarsson
IFAC-PapersOnLine 48 (28), 92-97, 2015
12015
Noise reduction in Laguerre-domain discrete delay estimation
M Abdalmoaty, A Medvedev
arXiv preprint arXiv:2207.12973, 2022
2022
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
2022
Time-Varying Normalizing Flows for Dynamical Signals
G Anubhab, AE Fontcuberta, M Abdalmoaty, S Chatterjee
2022 30th European Signal Processing Conference (EUSIPCO 2022), 2022
2022
Stochastic Approximation for Identification of Non-Linear Differential-Algebraic Equations with Process Disturbances
R Bereza, O Eriksson, M Abdalmoaty, D Broman, H Hjalmarsson
The 61th IEEE Conference on Decision and Control (CDC), 2022
2022
DeepBayes--an estimator for parameter estimation in stochastic nonlinear dynamical models
G Anubhab, M Abdalmoaty, S Chatterjee, H Hjalmarsson
2022
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
2021
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