متابعة
Mohamed Abdalmoaty
Mohamed Abdalmoaty
أسماء أخرىMohamed Rasheed-Hilmy Abdalmoaty
Automatic Control Laboratory, ETH Zurich
بريد إلكتروني تم التحقق منه على control.ee.ethz.ch - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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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مقالات 1–20