M
Maarouf Saad
Researcher at École de technologie supérieure
Publications - 398
Citations - 6264
Maarouf Saad is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Control theory & Adaptive control. The author has an hindex of 36, co-authored 383 publications receiving 5019 citations. Previous affiliations of Maarouf Saad include Université du Québec à Montréal & École Polytechnique de Montréal.
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Proceedings ArticleDOI
Real Time Implementation of a Sliding Mode Regulator for Current-Controlled Magnetic Levitation System
TL;DR: In this paper, a sliding mode regulator is implemented on a current-controlled magnetic levitation system (MLS) and the nonlinear regulator is designed using Matlab/Simulink and is run in real time using the RTW of Matlab.
Journal ArticleDOI
Adaptive control of multiple mobile manipulators transporting a rigid object
TL;DR: This paper presents a nonlinear control scheme for multiple mobile manipulator robots (MMR) moving a rigid object in coordination based on an appropriate choice of the Lyapunov function candidate.
Journal ArticleDOI
An Impedance-Based Method for Distribution System Monitoring
TL;DR: The results show that the monitoring method based on the apparent impedance has a good capability to detect different operation conditions and allows easy application of it in smart grid and traditional distribution system.
Journal ArticleDOI
Compliant control for wearable exoskeleton robot based on human inverse kinematics
TL;DR: This article investigates a new compliant control based on a second-order sliding mode with adaptive-gain incorporating time delay estimation that uses human inverse kinematics to complete active rehabilitation protocols for an exoskeleton robot with unknown dynamics and unforeseen disturbances.
Journal ArticleDOI
Pareto Optimal PID Tuning for Px4-Based Unmanned Aerial Vehicles by Using a Multi-Objective Particle Swarm Optimization Algorithm
TL;DR: This paper proposes an offline tuning procedure based on the multi-objective particle swarm optimization (MOPSO) algorithm for the attitude and altitude control of a Px4-based UAV, and uses a quadrotor as a case study to validate the proposed tuning procedure.