Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Fouad Khenfri"'
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1619 (2024)
This work proposes an innovative approach to enhance the localization of unmanned aerial vehicles (UAVs) in dynamic environments. The methodology integrates a sophisticated object-tracking algorithm to augment the established simultaneous localizatio
Externí odkaz:
https://doaj.org/article/2f7cd01c74f74fe1b8cb2ac11c3717de
Publikováno v:
2022 IEEE Vehicle Power and Propulsion Conference (VPPC).
Publikováno v:
In Energy Procedia 2013 42:530-538
Publikováno v:
IET Control Theory & Applications. 14:539-548
In this study, a novel adaptive hybrid fuzzy system-wavelet neural network (FS-WNN) approximator is developed for control of uncertain non-linear multiple-inputs and multiple-outputs systems. The main idea is to use two different universal approximat
Autor:
Fouad Khenfri, Redha Sadoun, Tedjani Mesbahi, Patrick Bartholomeus, Philippe Le Moigne, Nassim Rizoug
Publikováno v:
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics, 2021, 68 (5), pp.3962-3972. ⟨10.1109/TIE.2020.2984426⟩
IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, 2021, 68 (5), pp.3962-3972. ⟨10.1109/TIE.2020.2984426⟩
IEEE Transactions on Industrial Electronics, 2021, 68 (5), pp.3962-3972. ⟨10.1109/TIE.2020.2984426⟩
IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, 2021, 68 (5), pp.3962-3972. ⟨10.1109/TIE.2020.2984426⟩
One of the main technological stumbling blocks in the field of environmentally friendly vehicles is related to the energy storage system. It is in this regard that car manufacturers are mobilizing to improve battery technologies and to accurately pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8037ba5655be1d6689179ae1d0780798
https://hal.science/hal-03411195
https://hal.science/hal-03411195
Publikováno v:
CoDIT
This paper proposes a novel hybrid intelligent backstepping controller (HIBC) for control of uncertain nonlinear chaotic systems. The novel HIBC uses a hybrid Fuzzy System-Wavelet Neural Network identifier (FS-WNN) to identify the system unknown dyna
Publikováno v:
020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP).
Flying within highly unstructured and unknown environments performs a big confrontation for general understanding of the view on-board a future platform for unmanned aerial vehicles (UAV) technology. In this work, an approach for automatic trail mana
Publikováno v:
IEEE Transactions on Sustainable Energy. 8:59-73
This paper examines and optimizes parameters that affect the sizing and control of a hybrid embedded power supply composed of Li-ion batteries and supercapacitors in electric vehicle applications. High demands including power and energy density, low
Publikováno v:
IECON
This paper deals with the body-rate stabilization of quadrotors. The main idea is the design of a robust intelligent self-tuning PID controller for the quadrotor system. The key to successfully control a quadrotor with a PID controller is modeling th
Autor:
Patrick Bartholomeus, Philippe Le Moigne, Tedjani Mesbahi, Fouad Khenfri, Khaled Chaaban, Nassim Rizoug
Publikováno v:
Electric Power Systems Research. 131:195-204
In recent years, Li-ion batteries are widely used in various applications, such as electric and hybrid vehicles application. Their higher specific power and energy density, high cycle lifetime and decreasing costs have made them an attractive and alt