Mohamed Rasheed-Hilmy Abdalmoaty
Mohamed Rasheed-Hilmy Abdalmoaty
Decision and Control Systems, KTH Royal Institute of Technology
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Measures and LMIs for optimal control of piecewise-affine systems
MR Abdalmoaty, D Henrion, L Rodrigues
2013 European Control Conference (ECC), 3173-3178, 2013
122013
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
102016
Linear Prediction Error Methods for Stochastic Nonlinear Models
MR Abdalmoaty, H Hjalmarsson
Automatica 105, 49-63, 2019
92019
Learning stochastic nonlinear dynamical systems using non-stationary linear predictors
M Abdalmoaty
KTH Royal Institute of Technology, 2017
82017
Simulated pseudo maximum likelihood identification of nonlinear models
MR Abdalmoaty, H Hjalmarsson
IFAC-PapersOnLine 50 (1), 14058-14063, 2017
62017
Application of a linear PEM estimator to a stochastic Wiener-Hammerstein benchmark problem
MR Abdalmoaty, H Hjalmarsson
IFAC-PapersOnLine 51 (15), 784-789, 2018
52018
Identification of stochastic nonlinear dynamical models using estimating functions
M Abdalmoaty
KTH Royal Institute of Technology, 2019
42019
Identification of stochastic nonlinear models using optimal estimating functions
MRH Abdalmoaty, H Hjalmarsson
Automatica 119, 109055, 2020
22020
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
12021
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
1*2020
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
12019
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
Identification of Non-Linear Differential-Algebraic Equation Models with Process Disturbances
M Abdalmoaty, O Eriksson, R Bereza-Jarocinski, D Broman, ...
2021
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
2020
The Gaussian MLE versus the Optimally weighted LSE
M Abdalmoaty, H Hjalmarsson, B Wahlberg
IEEE signal processing magazine (Print), 2020
2020
Identification of a Class of Nonlinear Dynamical Networks
MRH Abdalmoaty, CR Rojas, H Hjalmarsson
IFAC-PapersOnLine 51 (15), 868-873, 2018
2018
Measures and LMIs for optimal control of piecewise-affine dynamical systems: Systematic feedback synthesis in continuous-time
M Rasheed-Hilmy Abdalmoaty
2012
Measures and LMIs for Optimal Control of Piecewise-Affine Dynamical Systems
MRH Abdalmoaty
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Articles 1–19