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.
Papers
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Proceedings Article
Position control of an electro-hydraulic servosystem : a non-linear backstepping approach
TL;DR: Simulation results show the effectiveness of the proposed approach in terms of guaranteed stability and zero tracking error and the model discontinuity is solved, by approximating the non-differentiable function by a sigmoid, so that the backstepping could be used without restrictions.
Proceedings ArticleDOI
A new integral second-order terminal sliding mode control with time delay estimation for an exoskeleton robot with dynamics uncertainties
TL;DR: A new Integral Second-Order Terminal Sliding Mode Control incorporating Time Delay Estimation applied to passive rehabilitation protocols of an exoskeleton robot with dynamics uncertainties and unknown bounded disturbances based on Lyapunov function is presented.
Book ChapterDOI
Development and Control of an Upper Extremity Exoskeleton Robot for Rehabilitation
TL;DR: This chapter presents a new integral second-order terminal sliding mode control incorporating quasi-time delay estimation (TDE) applied to passive and active rehabilitation protocols of an exoskeleton robot with dynamics’ uncertainties, unknown bounded disturbances, and without velocity measurement.
Journal ArticleDOI
A secondary voltage regulation approach for Hydro-Québec in transmission level
Jeffrey Mezquita,Hasan Mehrjerdi,Hasan Mehrjerdi,Serge Lefebvre,Maarouf Saad,P.J. Lagace,Dalal Asber +6 more
TL;DR: In this paper, an artificial intelligence methodology is presented for partitioning the Hydro-Quebec network into smaller and separated areas using a self-organizing map (SOM) and is based on an original concept in which competitive and learning vector quantization (LVQ) neural networks are used to partition the power system.
Journal ArticleDOI
Real-Time Decentralized Neural Control for a Five Dof Redundant Robot
TL;DR: A discrete-time decentralized control scheme for trajectory tracking of a five degrees of freedom (DOF) redundant robot using a modified recurrent high order neural network structure, which combines block control and sliding mode technique.