A novel effective nonlinear state observer based robust nonlinear sliding mode controller for a 6 kW Proton Exchange Membrane Fuel Cell voltage regulation

Autor: Dali, Ali, Abdelmalek, Samir, Bakdi, Azzeddine, Bettayeb, Maamar

Publikováno v: In Sustainable Energy Technologies and Assessments April 2021 44

SENSOR FAULTS DETECTION AND ESTIMATION FOR A DFIG EQUIPPED WIND TURBINE

Autor: Abdelmalek, Samir, Rezazi, Sarah, Azar, Ahmad Taher

Publikováno v: In Energy Procedia December 2017 139:3-9

A class of PSO-tuned controllers in Lorenz chaotic system

Autor: Dali, Ali, Abdelmalek, Samir, Bakdi, Azzeddine, Bettayeb, Maamar

Publikováno v: Dali, Ali Abdelmalek, Samir Bakdi, Azzeddine Bettayeb, Maamar . A class of PSO-tuned controllers in Lorenz chaotic system. Mathematics and Computers in Simulation. 2023, 204, 430-449
Mathematics and Computers in Simulation

Externí odkaz: http://hdl.handle.net/10852/110488

A new effective robust nonlinear controller based on PSO for interleaved DC–DC boost converters for fuel cell voltage regulation

Autor: Abdelmalek, Samir, Dali, Ali, Bettayeb, Maamar, Bakdi, Azzeddine

Publikováno v: Abdelmalek, Samir Dali, Ali Bettayeb, Maamar Bakdi, Azzeddine . A new effective robust nonlinear controller based on PSO for interleaved DC–DC boost converters for fuel cell voltage regulation. Soft Computing - A Fusion of Foundations, Methodologies and Applications. 2020, 24, 17051-17064
Soft Computing - A Fusion of Foundations, Methodologies and Applications

Externí odkaz: http://hdl.handle.net/10852/84158
https://www.duo.uio.no/bitstream/handle/10852/84158/1/SOCO.pdf

Artificial Neural Networks (ANNs) - Based Robust Tracking Control for DFIG integrated in WECS

Autor: Khechiba Kamel, Abdelmalek Samir, Larabi Abdelkader, Zeghdi Zoubir, Barazane Linda

Publikováno v: 2018 International Conference on Applied Smart Systems (ICASS).

The present paper deals with the introduction of Artificial Intelligent Systems “Neural Networks (ANNs)” in a new power control scheme of wind turbine associated with Doubly Fed Induction Machine. These Neural Networks will be replacing the four

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d9d34f8ee1e5d87caff0a60db60eff5
https://doi.org/10.1109/icass.2018.8652023