M
Mouloud Denai
Researcher at University of Hertfordshire
Publications - 136
Citations - 1910
Mouloud Denai is an academic researcher from University of Hertfordshire. The author has contributed to research in topics: Control theory & Wind power. The author has an hindex of 20, co-authored 123 publications receiving 1339 citations. Previous affiliations of Mouloud Denai include University of Oran & University of Science and Technology of Oran Mohamed-Boudiaf.
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Journal ArticleDOI
Direct Yaw-Moment Control of an In-Wheel-Motored Electric Vehicle Based on Body Slip Angle Fuzzy Observer
TL;DR: A stabilizing observer-based control algorithm for an in-wheel-motored vehicle is proposed, which generates direct yaw moment to compensate for the state deviations and has been demonstrated in simulations and in a real-time experimental setting.
Journal ArticleDOI
A Technical analysis investigating energy sustainability utilizing reliable renewable energy sources to reduce CO2 emissions in a high potential area
Armin Razmjoo,L Gakenia Kaigutha,Vaziri rad,Mousa Marzband,Mousa Marzband,Afshin Davarpanah,Mouloud Denai +6 more
TL;DR: In this article, the authors investigated several sustainable hybrid renewable systems for electricity production in Iran and concluded that the hybrid configuration composed of photovoltaic (PV), wind turbine, diesel generator and battery produced the best outcome with an energy cost of 0.151$/kWh and 15.6% return on investment.
Proceedings ArticleDOI
ANFIS based modelling and control of non-linear systems : a tutorial
TL;DR: This work concentrates on the pioneering neuro-fuzzy system ANFIS (adaptive neuro fuzzy inference system), which is first used to model nonlinear knee-joint dynamics from recorded clinical data and is then used to predict the behaviour of the underlying system and for the design and evaluation of various intelligent control strategies.
Journal ArticleDOI
Modeling and control of non-linear systems using soft computing techniques
TL;DR: This work will concentrate on the pioneering neuro-fuzzy system, Adaptive Neuro-Fuzzy Inference System (ANFIS), which is first used to model non-linear knee-joint dynamics from recorded clinical data and is then used for the design and evaluation of various intelligent control strategies.
Journal ArticleDOI
Power Quality Improvement and Low Voltage Ride Through Capability in Hybrid Wind-PV Farms Grid-Connected Using Dynamic Voltage Restorer
TL;DR: The results of the LVRT capability, voltage stability, active power, reactive power, injected current, and dc link voltage, speed of turbine, and power factor at the PCC are presented with and without the contribution of the DVR system.