T
Taous-Meriem Laleg-Kirati
Researcher at King Abdullah University of Science and Technology
Publications - 218
Citations - 1791
Taous-Meriem Laleg-Kirati is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Computer science & Nonlinear system. The author has an hindex of 18, co-authored 189 publications receiving 1212 citations. Previous affiliations of Taous-Meriem Laleg-Kirati include French Institute for Research in Computer Science and Automation & University of the Sciences.
Papers
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Journal ArticleDOI
Dynamic modeling and experimental validation for direct contact membrane distillation (DCMD) process
TL;DR: In this article, a mathematical dynamic model for the direct contact membrane distillation (DCMD) process is proposed, which is based on a 2D Advection-Diffusion Equation (ADE), which describes the heat and mass transfer mechanisms that take place inside the DCMD module.
Proceedings ArticleDOI
Identification of fractional order systems using modulating functions method
TL;DR: This paper generalizes the modulating functions method to the on-line identification of fractional order systems based on the Riemann-Liouville fractional derivatives and shows that the proposed estimators are robust against high frequency sinusoidal noises and the ones due to a class of stochastic processes.
Posted Content
Identification of fractional order systems using modulating functions method
TL;DR: In this paper, a new fractional integration by parts formula involving the fractional derivative of a modulating function is given, and applied to a fractional order system, for which fractional derivatives of the input and the output can be transferred into the ones of the modulating functions.
Journal ArticleDOI
Robust fractional order differentiators using generalized modulating functions method
TL;DR: Digital fractional order differentiators applicable for on-line applications are deduced using a numerical integration method in discrete noisy case using left-sided Riemann-Liouville fractional derivatives of the studied signal.
Journal ArticleDOI
Fractional Order Differentiation by Integration and Error Analysis in Noisy Environment
TL;DR: The integer order differentiation by integration method based on the Jacobi orthogonal polynomials for noisy signals was originally introduced by Mboup, Join and Fliess is extended and the proposed fractional order differentiators are significantly improved by admitting a time-delay.