activity
20222026
most citedPrivacy and Security in Network Controlled Systems via Dynamic Masking

3 citations · 5 across the 8 of their papers we have counts for

collaborators

9 papers

eess.SP2026

Identification of -Asymmetric Impedances as Complex Transfer Functions Using a Single Arbitrary Excitation

Mohamed Abdalmoaty, Zheran Zeng, Dongsheng Yang +1

Cross-coupling between the coordinates makes the identification of asymmetric grid impedances a challenging problem, particularly near the fundamental frequency where the asym…

eess.SY2025

An Innovations-Based Data-Driven Kalman Predictor for Predictive Control

Mohamed Abdalmoaty, Roy S. Smith

A recently developed data-driven Kalman filter requires offline measurement of the process disturbance; a requirement that is often unmet for many practical applications. We propos…

eess.SY2025

Ultrafast Grid Impedance Identification in -Asymmetric Three-Phase Power Systems

Mohamed Abdalmoaty, Verena Häberle, Xiuqiang He +1

We propose a non-parametric frequency-domain method to identify small-signal -asymmetric grid impedances, over a wide frequency band, using grid-connected converters. Existing…

eess.SY2024

Finite Sample Frequency Domain Identification

Anastasios Tsiamis, Mohamed Abdalmoaty, Roy S. Smith +1

We study non-parametric frequency-domain system identification from a finite-sample perspective. We assume an open loop scenario where the excitation input is periodic and consider…

eess.SY2024★ 1 cited

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

Roy S. Smith, Mohamed Abdalmoaty, Mingzhou Yin

Data-driven control uses a past signal trajectory to characterise the input-output behaviour of a system. Willems' lemma provides a data-based prediction model allowing a control d…

stat.ME2024

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

Mohamed Abdalmoaty, Efe C. Balta, John Lygeros +1

It is well known that ignoring the presence of stochastic disturbances in the identification of stochastic Wiener models leads to asymptotically biased estimators. On the other han…

eess.SY2024

Small Noise Analysis of Non-Parametric Closed-Loop Identification

Mohamed Abdalmoaty, Roy S. Smith

We revisit the problem of non-parametric closed-loop identification in frequency domain; we give a brief survey of the literature and provide a small noise analysis of the direct,…

eess.SY2023★ 1 cited

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

Mohamed Abdalmoaty, Jared Miller, Mingzhou Yin +1

We propose a computationally tractable method for the identification of stable canonical discrete-time rational transfer function models, using frequency domain data. The problem i…

eess.SY2022★ 3 cited

Privacy and Security in Network Controlled Systems via Dynamic Masking

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

In this paper, we propose a new architecture to enhance the privacy and security of networked control systems against malicious adversaries. We consider an adversary which first le…