Mohamed Rasheed Abdalmoaty

According to our database, Mohamed Rasheed Abdalmoaty authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DeepBayes - An estimator for parameter estimation in stochastic nonlinear dynamical models.

Anubhab Ghosh, Mohamed Abdalmoaty, Saikat Chatterjee, Håkan Hjalmarsson

Autom., January, 2024

Small Noise Analysis of Non-Parametric Closed-Loop Identification.

Mohamed Abdalmoaty, Roy S. Smith

CoRR, 2024

Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models.

Roy S. Smith, Mohamed Abdalmoaty, Mingzhou Yin

CoRR, 2024

Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data.

Mohamed Abdalmoaty, Efe C. Balta, John Lygeros, Roy S. Smith

CoRR, 2024

2023

Frequency-Domain Identification of Discrete-Time Systems using Sum-of-Rational Optimization.

Mohamed Abdalmoaty, Jared Miller, Mingzhou Yin, Roy S. Smith

CoRR, 2023

2022

Continuous Time-Delay Estimation From Sampled Measurements.

Mohamed Abdalmoaty, Alexander Medvedev

CoRR, 2022

Privacy and Security in Network Controlled Systems via Dynamic Masking.

Mohamed Abdalmoaty, Sribalaji Coimbatore Anand, André M. H. Teixeira

CoRR, 2022

Time-varying Normalizing Flow for Generative Modeling of Dynamical Signals.

Anubhab Ghosh, Aleix Espuña Fontcuberta, Mohamed Rasheed-Hilmy Abdalmoaty, Saikat Chatterjee

Proceedings of the 30th European Signal Processing Conference, 2022

Stochastic Approximation for Identification of Non-Linear Differential-Algebraic Equations with Process Disturbances.

Robert Bereza, Oscar Eriksson, Mohamed Rasheed-Hilmy Abdalmoaty, David Broman, Håkan Hjalmarsson

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Noise reduction in Laguerre-domain discrete delay estimation.

Mohamed Abdalmoaty, Alexander Medvedev

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

An integrated approach for modeling and identification of perfusion bioreactors via basis flux modes.

Diogo Rodrigues, Mohamed Rasheed Abdalmoaty, Elling W. Jacobsen, Véronique Chotteau, Håkan Hjalmarsson

Comput. Chem. Eng., 2021

Identification of Non-Linear Differential-Algebraic Equation Models with Process Disturbances.

Mohamed Rasheed-Hilmy Abdalmoaty, Oscar Eriksson, Robert Bereza, David Broman, Håkan Hjalmarsson

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes].

Mohamed Rasheed-Hilmy Abdalmoaty, Håkan Hjalmarsson, Bo Wahlberg

IEEE Signal Process. Mag., 2020

Identification of stochastic nonlinear models using optimal estimating functions.

Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson

Autom., 2020

Toward Tractable Global Solutions to Bayesian Point Estimation Problems via Sparse Sum-of-Squares Relaxations.

Diogo Rodrigues, Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson

Proceedings of the 2020 American Control Conference, 2020

2019

Linear prediction error methods for stochastic nonlinear models.

Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson

Autom., 2019

Toward Tractable Global Solutions to Maximum-Likelihood Estimation Problems via Sparse Sum-of-Squares Relaxations.

Diogo Rodrigues, Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Consistent Estimators of Stochastic MIMO Wiener Models Based on Suboptimal Predictors.

Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016

A simulated maximum likelihood method for estimation of stochastic Wiener systems.

Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2013

Measures and LMIs for optimal control of piecewise-affine systems.

Mohamed Rasheed Abdalmoaty, Didier Henrion, Luis Rodrigues

Proceedings of the 12th European Control Conference, 2013