Mohamed Rasheed-Hilmy Abdalmoaty
Journal Articles
D. Rodrigous, M. Abdalmoaty, E.W. Jacobsen, V. Chotteau, and H. Hjalmarsson. An Integrated Approach for Modeling and Identification of Perfusion Bioreactors via Basis Flux Modes. In Computers & Chemical Engineering (2021): 107238.
M. Abdalmoaty, H. Hjalmarsson, and B. Wahlberg. The Gaussian MLE Versus the Optimally Weighted LSE [Lecture Notes]. In IEEE Signal Processing Magazine, Volume 37, Issue 6, 2020.
M. Abdalmoaty and H. Hjalmarsson. Identification of Stochastic Nonlinear Models Using Optimal Estimating Functions. In Automatica 119 (2020): 109055.
M. Abdalmoaty and H. Hjalmarsson. Linear Prediction Error Methods for Stochastic Nonlinear Models. In Automatica 105 (2019): 49-63.
Conference Papers
M. Abdalmoaty, O. Eriksson, R. Bereza, D. Broman, and H. Hjalmarsson. Identification of Non-Linear Differential-Algebraic Equation Models with Process Disturbances. Accepted for publication in the 60th IEEE Conference on Decision and Control (CDC) July 2021.
D. Rodrigues, M. Abdalmoaty, and H. Hjalmarsson. Toward Tractable Global Solutions to Bayesian Point Estimation Problems via Sparse Sum-of-Squares Relaxations. In the 2020 American Control Conference (ACC), pp. 1501-1506.
D. Rodrigues, M. Abdalmoaty, and H. Hjalmarsson. Toward Tractable Global Solutions to Maximum-Likelihood Estimation Problems via Sparse Sum-of-Squares Relaxations. In the 58th IEEE Conference on Decision and Control (CDC),pp. 3184-3189, 2019.
M. Abdalmoaty and H. Hjalmarsson. Consistent estimators of stochastic MIMO Wiener models based on suboptimal predictors. In the 57th IEEE Conference on Decision and Control (CDC), pp. 3842-3847, 2018.
M. Abdalmoaty and H. Hjalmarsson. Application of a linear PEM estimator to a stochastic Wiener-Hammerstein benchmark problem. In IFAC-PapersOnLine, Volume 51, Issue 15, pp. 784-789, 2018.
M. Abdalmoaty, C. R. Rojas, and H. Hjalmarsson. Identification of a class of nonlinear dynamical networks. In IFAC-PapersOnLine, Volume 51, Issue 15, pp. 868-873, 2018.
M. Abdalmoaty and H. Hjalmarsson. Simulated pseudo maximum likelihood identification of nonlinear models. In IFAC-PapersOnLine, Volume 50, Issue 1, pp. 14058-14063, 2017.
M. Abdalmoaty and H. Hjalmarsson. A Simulated Maximum Likelihood Method for Estimation of Stochastic Wiener Systems. In the 55th IEEE Conference on Decision and Control (CDC), pp. 3060-3065, 2016.
M. Abdalmoaty and H. Hjalmarsson. On Re-weighting, Regularization Selection, and Transient in Nuclear Norm based Identification. In IFAC-PapersOnLine, Volume 48, Issue 28, pp. 092-097, 2015.
M. Abdalmoaty, D. Henrion and L. Rodrigues. Measures and LMIs for optimal control of piecewise-affine systems. European Control Conference, Zurich 2013.
Theses
M. Abdalmoaty. Identification of Stochastic Nonlinear Dynamical Models Using Estimating Functions. KTH Royal Institute of Technology, TRITA-EECS-AVL-2019:63, ISBN 978-91-7873-267-8, 2019.
M. Abdalmoaty. Learning Stochastic Nonlinear Dynamical Systems Using Non-stationary Linear Predictors. KTH Royal Institute of Technology, TRITA-EE 2017:172, ISBN 978-91-7729-624-9, 2017.
M. Abdalmoaty. Measures and LMIs for Optimal Control of Piecewise-Affine Dynamical Systems: Systematic feedback synthesis in continuous-time. Luleå University of Technology, 2012.
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