User profiles for Yasmine Marani

Yasmine Marani

PhD candidate in Electrical and Computer Engineering, King Abdullah University of Science …
Verified email at kaust.edu.sa
Cited by 16

Drone reference tracking in a non-inertial frame using sliding mode control based Kalman filter with unknown input

Y Marani, K Telegenov, E Feron… - 2022 IEEE Conference …, 2022 - ieeexplore.ieee.org
As surprising as it seems, drones and mobile robots in general experience motion sickness
when put in a moving environment. This navigation problem has been little if ever explored …

Drone reference tracking in a non-inertial frame: control, design and experiment

Y Marani, K Telegenov, E Feron… - 2022 IEEE/AIAA 41st …, 2022 - ieeexplore.ieee.org
Drones and mobile robots in general experience motion sickness when put inside a GPS
denied moving environment. This navigation problem is of a novel nature and barely explored …

Non-asymptotic neural network-based state and disturbance estimation for a class of nonlinear systems using modulating functions

Y Marani, I N'doye, TML Kirati - 2023 American Control …, 2023 - ieeexplore.ieee.org
Model disturbances result from model uncertainties or external factors acting on the system.
They usually affect the closed-loop performance in a control loop system. However, they are …

Deep-learning based KKL chain observer for discrete-time nonlinear systems with time-varying output delay

Y Marani, I N'Doye, TM Laleg-Kirati - Automatica, 2025 - Elsevier
This paper proposes a Kazantzis–Kravaris–Luenberger (KKL) observer design for discrete-time
nonlinear systems whose output is affected by a time-varying measurement delay. …

Observer-based Control of an Unmanned Aerial Vehicle in a Non-inertial Reference Frame

Y Marani, E Feron, MTL Kirati - 2024 IEEE Conference on …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) control in a non-inertial reference frame is of great importance.
Its applications expand to several examples such as target tracking, landing on moving …

Non-Asymptotic State and Disturbance Estimation for a Class of Triangular Nonlinear Systems using Modulating Functions

Y Marani, I N'Doye, TM Laleg-Kirati - arXiv preprint arXiv:2306.07620, 2023 - arxiv.org
Dynamical models are often corrupted by model uncertainties, external disturbances, and
measurement noise. These factors affect the performance of model-based observers and as a …

Unsupervised Physics-Informed Neural Network-based Nonlinear Observer design for autonomous systems using contraction analysis

Y Marani, T Al-Naffouri, TM Laleg-Kirati - arXiv preprint arXiv …, 2024 - arxiv.org
Contraction analysis offers, through elegant mathematical developments, a unified way of
designing observers for a general class of nonlinear systems, where the observer correction …

A nonlinear adaptive resilient observer for fouling detection and localization in direct contact membrane distillation systems

Y Marani, TC Touati, M Chakir… - 2021 IEEE Conference …, 2021 - ieeexplore.ieee.org
Because freshwater source exhaustion is a growing issue, the use of seawater desalination
technologies is constantly increasing. More attention is drawn to Direct Contact Membrane …

Deep-learning based design of cascade observers for discrete-time nonlinear systems with output delay

Y Marani, I N'Doye, TM Laleg-Kirati - IFAC-PapersOnLine, 2023 - Elsevier
Looking for a proper Lyapunov-based stability analysis for nonlinear discrete-time delay
systems is non-trivial, even for constant delay. This paper proposes a learning approach that …

A deep-learning-based observer for state estimation of direct contact membrane distillation system modeled by differential algebraic equations

Y Wang, Y Marani, TML Kirati - 2022 IEEE Conference on …, 2022 - ieeexplore.ieee.org
Due to its high rejection rate and low energy consumption, Direct Contact Membrane
Distillation (DCMD) technology is drawing more attention for seawater desalination, to meet the …