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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
192019
Measures and LMIs for optimal control of piecewise-affine systems
MR Abdalmoaty, D Henrion, L Rodrigues
2013 European Control Conference (ECC), 3173-3178, 2013
172013
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
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
82021
Identification of stochastic nonlinear dynamical models using estimating functions
M Abdalmoaty
KTH Royal Institute of Technology, 2019
82019
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
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
62021
Identification of stochastic nonlinear models using optimal estimating functions
MRH Abdalmoaty, H Hjalmarsson
Automatica 119, 109055, 2020
62020
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
52019
DeepBayes—An estimator for parameter estimation in stochastic nonlinear dynamical models
A Ghosh, M Abdalmoaty, S Chatterjee, H Hjalmarsson
Automatica 159, 111327, 2024
42024
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
32022
Noise reduction in Laguerre-domain discrete delay estimation
M Abdalmoaty, A Medvedev
2022 IEEE 61st Conference on Decision and Control (CDC), 6254-6259, 2022
32022
Optimal data-driven prediction and predictive control using signal matrix models
RS Smith, M Abdalmoaty, M Yin
arXiv preprint arXiv:2403.15329, 2024
22024
Quickest detection of bias injection attacks on the glucose sensor in the artificial pancreas under meal disturbances
FE Tosun, AMH Teixeira, MRH Abdalmoaty, A Ahlén, S Dey
Journal of Process Control 135, 103162, 2024
22024
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
22020
Data-driven formulation of the Kalman filter and its application to predictive control
RS Smith, M Abdalmoaty, M Yin
2024 IEEE 63rd Conference on Decision and Control (CDC), 2633-2639, 2024
12024
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data
M Abdalmoaty, EC Balta, J Lygeros, RS Smith
2024 European Control Conference (ECC), 935-940, 2024
12024
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