E
Ebrahim Louarroudi
Researcher at University of Antwerp
Publications - 38
Citations - 448
Ebrahim Louarroudi is an academic researcher from University of Antwerp. The author has contributed to research in topics: Frequency response & Nonlinear system. The author has an hindex of 10, co-authored 38 publications receiving 408 citations. Previous affiliations of Ebrahim Louarroudi include Vrije Universiteit Brussel & VU University Amsterdam.
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A new measuring and identification approach for time-varying bioimpedance using multisine electrical impedance spectroscopy.
TL;DR: This paper presents a novel measurement and identification approach, the so-called parametric-in-time approach, valid for time-varying (bio-)impedance systems with a (quasi) periodic character, based on multisine EIS.
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Brief paper: Non-parametric estimate of the system function of a time-varying system
TL;DR: The task of identifying an unknown dynamic system is made easier with prior knowledge on its behaviour by using a frequency domain approach, and the non-parametric maximum likelihood estimator of the system function, associated with the time-dependent impulse response of a time-varying system is constructed.
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Nonparametric Tracking of the Time-Varying Dynamics of Weakly Nonlinear Periodically Time-Varying Systems Using Periodic Inputs
TL;DR: A nonparametric estimation procedure is presented in order to track the evolution of the dynamics of continuous (discrete)-time (non)-linear periodically time-varying (PTV) systems, finding that a linear PTV system can be decomposed into an (in)finite series of transfer functions, the so-called harmonic transfer functions (HTFs).
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Detecting a Time-Varying Behavior in Frequency Response Function Measurements
TL;DR: The best linear time-invariant approximation of alinear time-varying system is defined and is estimated using existing FRF estimators, revealing the frequency band in which the contributions from the time variation dominates the disturbing measurement noise and, thus, is significant.
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Frequency domain, parametric estimation of the evolution of the time-varying dynamics of periodically time-varying systems from noisy input-output observations
TL;DR: In this paper, a frequency domain, parametric identification method for continuous- and discrete-time, slow linear time-periodic (LTP) systems from input–output measurements is presented and uncertainty bounds on the model-related quantities are derived.