| Linear Prediction Error Methods for Stochastic Nonlinear Models MR Abdalmoaty, H Hjalmarsson Automatica 105, 49-63, 2019 | 14 | 2019 |
| Measures and LMIs for optimal control of piecewise-affine systems MR Abdalmoaty, D Henrion, L Rodrigues 2013 European Control Conference (ECC), 3173-3178, 2013 | 14 | 2013 |
| 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 | 11 | 2016 |
| Learning stochastic nonlinear dynamical systems using non-stationary linear predictors M Abdalmoaty KTH Royal Institute of Technology, 2017 | 8 | 2017 |
| Application of a linear PEM estimator to a stochastic Wiener-Hammerstein benchmark problem MR Abdalmoaty, H Hjalmarsson IFAC-PapersOnLine 51 (15), 784-789, 2018 | 7 | 2018 |
| Simulated pseudo maximum likelihood identification of nonlinear models MR Abdalmoaty, H Hjalmarsson IFAC-PapersOnLine 50 (1), 14058-14063, 2017 | 6 | 2017 |
| 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 | 5 | 2021 |
| Identification of stochastic nonlinear dynamical models using estimating functions M Abdalmoaty KTH Royal Institute of Technology, 2019 | 5 | 2019 |
| Identification of stochastic nonlinear models using optimal estimating functions MRH Abdalmoaty, H Hjalmarsson Automatica 119, 109055, 2020 | 4 | 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 | 3 | 2019 |
| 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 | 2 | 2020 |
| 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 | 1 | 2020 |
| 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 | 1 | 2018 |
| On Re-weighting, Regularization Selection, and Transient in Nuclear Norm based Identification M Abdalmoaty, H Hjalmarsson IFAC-PapersOnLine 48 (28), 92-97, 2015 | 1 | 2015 |
| 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 |
Håkan HjalmarssonCentre for Advanced Bioproduction, Linnaeus Centre ACCESS, School of EE and CSVerified email at kth.se
