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Djamel Eddine Chaouch
Djamel Eddine Chaouch
Université Mustapha Stambouli de Mascara , Faculté des sciences et de la technologies, Algérie
Verified email at univ-mascara.dz
Title
Cited by
Cited by
Year
A self-tuning fuzzy inference sliding mode control scheme for a class of nonlinear systems
DE Chaouch, Z Ahmed-Foitih, MF Khelfi
Journal of Vibration and Control 18 (10), 1494-1505, 2012
282012
An offline trained artificial neural network to predict a photovoltaic panel maximum power point
HA Azzeddine, M Tioursi, DE Chaouch, B Khiari
Rev. Roum. Sci. Techn.–Électrotechn. et Énerg 61 (3), 255-257, 2016
122016
A sliding mode based control of 2dof robot manipulator using neural network
DE Chaouch, Z Ahmed-Foitih, MF Khelfi
2012 6th International Conference on Sciences of Electronics, Technologies …, 2012
92012
Application of passivity-based and sliding mode control of permanent magnet synchronous motor under controlled voltage
A Larbaoui, DE Chaouch, B Belabbes, M Razkallah
Journal of Vibration and Control 28 (11-12), 1267-1278, 2022
72022
Commande neuronale inverse des systèmes non linéaires
M Salem, DE Chaouch, MF Khelfi
Forth International Conference on Computer Integrated Manufacturing CIP, 2007
52007
Fuel cell grid connected system with active power generation and reactive power compensation features
HA Azzeddine, D Chaouch, M Berka, M Hebali, A Larbaoui, M Tioursi
Przeglad Elektrotechniczny 96 (11), 124-127, 2020
42020
Study of designing regulator for temperature electrical resistance furnace using Kalman stochastic reconstructor
B Kada, A El Kebir, M Berka, H Belhadj, DE Chaouch
Indonesian Journal of Electrical Engineering and Computer Science 24 (1 …, 2021
22021
Application of Adaptive Controller Neural Network Based on RBF NN for Temperature Control Electrical Resistance Furnace.
B Kada, A ElKebir, K Negadi, H Belhadj, DE Chaouch
Przeglad Elektrotechniczny 96 (6), 2020
22020
Sliding mode with neuro-fuzzy network controller for inverted pendulem
MF Khelfi, FZ Daikh, DE Chaouch
2013 IEEE International Conference on Industrial Technology (ICIT), 193-198, 2013
22013
An Efficient Fuel Cell Maximum Power Point Tracker based on an Adaptive Neural Fuzzy Inference System
A ZOUGGARET, HA AZZEDDINE, DE CHAOUCH, M BERKA, M HEBALI, ...
Przeglad Elektrotechniczny 99 (2), 2023
12023
A RBF artificial neural network to predict a fuel cell maximum power point
Y FOUGHALI, M MANKOUR, M SEKOUR, HA AZZEDDINE, A LARBAOUI, ...
PRZEGLĄD ELEKTROTECHNICZNY, 2022
12022
Photovoltaic Maximum Power Point Tracking Using Artificial Neural Network and PI Controller
HA Azzeddine, D Chaouch, M Hebali, A Labaoui, YID Kobibi, B Ibari
Sustainable Technology and Advanced Computing in Electrical Engineering …, 2022
2022
SRF Control Strategy based on STFIS Controllers For SingleStage Four-Leg Transformerless Inverter for Grid-Connected PV system.
DE Chaouch, HA Azzeddine, A Larbaoui, Z Ahmed-Foitih
Przeglad Elektrotechniczny 97 (7), 2021
2021
Automatismes et Informatique Industrielle
DE CHAOUCH
2021
DAIKH Fatima Zohra
D les membres du Jury
Université d’Oran, 2015
2015
Intelligent Control of an Inverted Pendulum by Self-Tunable Fuzzy PI-type Controller
DE Chaouch, H Maaref
Proceedings of the 7th conference of the European Society for Fuzzy Logic …, 2011
2011
Monotonic and cyclic behaviour of steel 42 CD 4
D Chaouch, A Sadok, S Benyebka, A Chaouch
International Journal of Applied Engineering Research 3 (10), 1252-1267, 2008
2008
Modélisation d’un système photovoltaïque relié au réseau: Contrôle des puissances active et réactive
MM Kaddour, MCD Eddine, MDK YI, MB Adel, MAH Abdelhak
PRZEGLĄD ELEKTROTECHNICZNY Vol 2022, No 7
DC LARBAOUI, M BERKA
contrôle robuste des système non linéaire par des approches du type neuro-flou (applique a un bras de robot
FZ DAIKH
Université de Mascara-Mustapha Stambouli, 0
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