El-mahjoub Boufounas

According to our database1, El-mahjoub Boufounas authored at least 15 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Optimised backstepping sliding mode controller with integral action for MPPT-based photovoltaic system using PSO technique.
Int. J. Comput. Aided Eng. Technol., 2023

2022
Power control of a stand-alone electric generation hybrid system using integral sliding mode controller.
Int. J. Autom. Control., 2022

Renewable Energy Integration Into Cloud & IoT-Based Smart Agriculture.
IEEE Access, 2022

2020
Nonlinear controller for MPPT based photovoltaic system under variable atmospheric conditions.
Int. J. Model. Identif. Control., 2020

Optimized TSMC Control Based MPPT for PV System under Variable Atmospheric Conditions Using PSO Algorithm.
Proceedings of the 11th International Conference on Ambient Systems, 2020

2019
Intelligent proportional-integral sliding mode control of wind turbine systems based particle swarm optimisation.
Int. J. Autom. Control., 2019

Backstepping integral sliding mode control for Energy Capture Optimization of wind turbine System.
Mechatron. Syst. Control., 2019

2018
A Robust Double Integral Sliding Mode Control Based Neural Network of a Large Wind Turbine.
Proceedings of the 2018 International Conference on Electronics, 2018

A Robust Backstepping Sliding Mode Control for MPPT based Photovoltaic System with a DC-DC Boost Converter.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2018

2017
Optimal multivariable control for wind Energy conversion Systems using Particle Swarm Optimization Technique.
Control. Intell. Syst., 2017

2016
Optimal intelligent control for a variable-speed wind turbine using general regression neural network and adaptive PSO algorithm.
Int. J. Intell. Eng. Informatics, 2016

2015
Optimal H<sup>∞</sup> control without reaching phase for a variable speed wind turbine based on fuzzy neural network and APSO algorithm.
Int. J. Model. Identif. Control., 2015

Optimal neural network sliding mode control without reaching phase using genetic algorithm for a wind turbine.
Proceedings of the 10th International Conference on Intelligent Systems: Theories and Applications, 2015

2013
Neural Network sliding Mode controller for a variable Speed wind turbine.
Control. Intell. Syst., 2013

2012
Neural network sliding mode controller for a class of nonlinear uncertain systems.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012


  Loading...