S
Samir Zeghlache
Publications - 55
Citations - 590
Samir Zeghlache is an academic researcher. The author has contributed to research in topics: Fuzzy logic & Control theory. The author has an hindex of 12, co-authored 44 publications receiving 350 citations.
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Actuator fault tolerant control using adaptive RBFNN fuzzy sliding mode controller for coaxial octorotor UAV.
TL;DR: The simulation results show that the proposed FTC can greatly alleviate the chattering effect, good tracking in presence of actuator faults, and guaranteeing the stability and the robustness of the system.
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Fault tolerant control for modified quadrotor via adaptive type-2 fuzzy backstepping subject to actuator faults.
Samir Zeghlache,Ali Djerioui,Loutfi Benyettou,Tarak Benslimane,Hemza Mekki,Abderrahmen Bouguerra +5 more
TL;DR: The uniformly ultimate stability of the modified quadrotor system is proved after Lyapunov theory stability and convergence analysis was used to online adjust adaptive laws.
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Energy management strategy of Supercapacitor/Fuel Cell energy storage devices for vehicle applications
Ali Djerioui,Azeddine Houari,Samir Zeghlache,Abdelhakim Saim,Mohamed Fouad Benkhoris,Tedjani Mesbahi,Mohamed Machmoum +6 more
TL;DR: The key idea of the proposed approach is to incorporate the benefit of the GWO in terms of fast optimization and convergence accuracy, in order to achieve efficient energy sources exploitation and provide the desired driving performances.
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Fault tolerant control based on interval type-2 fuzzy sliding mode controller for coaxial trirotor aircraft.
TL;DR: A robust controller for a Six Degrees of Freedom (6 DOF) coaxial trirotor helicopter control is proposed in presence of defects in the system to eliminate the chattering phenomenon and guaranteeing the stability and the robustness of the system.
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A hybrid power system based on fuel cell, photovoltaic source and supercapacitor
TL;DR: In this article, the authors presented an ameliorated power management method for dc micro-grid, which aims to provide high quality energy to the load under different loading conditions with variable solar irradiance, taking into account the fuel cell state.