Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Soufiene Bouallegue"'
Autor:
Saida Dhouibi, Soufiene Bouallegue
Publikováno v:
2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cb6a8757484c7f9dfba3223a9144cf1
https://doi.org/10.1109/sta56120.2022.10019005
https://doi.org/10.1109/sta56120.2022.10019005
Publikováno v:
Drones; Volume 6; Issue 12; Pages: 385
Path planning with collision avoidance for unmanned aerial vehicles (UAVs) in environments with moving obstacles is a complex process of navigation, often considered a hard optimization problem. Ordinary resolution algorithms may fail to provide flya
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e57b2b7609771965e66dbe742269f637
Publikováno v:
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72711ac4c477d0b2a9fdb102907d2b38
https://doi.org/10.1109/ssd54932.2022.9955506
https://doi.org/10.1109/ssd54932.2022.9955506
Autor:
Soufiene Bouallegue, Raja Jarray
Publikováno v:
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET).
Trajectories planning for Unmanned Aerial Vehicles (UAV) is a essential task in autonomous flight control design. In this paper, a method based on a Grey Wolf Optimizer (GWO) is present and favorably implemented to solve the path planning problem, re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b314e0097d1766d317826eb59f6f892c
https://doi.org/10.1109/ic_aset49463.2020.9318225
https://doi.org/10.1109/ic_aset49463.2020.9318225
Publikováno v:
Sensors; Volume 22; Issue 5; Pages: 1826
The path planning of Unmanned Aerial Vehicles (UAVs) is a complex and hard task that can be formulated as a Large-Scale Global Optimization (LSGO) problem. A higher partition of the flight environment leads to an increase in route’s accuracy but at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b01071b655bf3488567d72769fb1336
https://doi.org/10.3390/s22051826
https://doi.org/10.3390/s22051826
Publikováno v:
Cyber-Physical Laboratories in Engineering and Science Education ISBN: 9783319769349
The current chapter describes the design and the implementation of a remote laboratory for heat transfer learning purposes. It summarizes the main steps of the work carried out to adapt and redesign the heat exchanger bench to be remotely accessed an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c611f465270c75b368bacc97ddd2cead
https://doi.org/10.1007/978-3-319-76935-6_14
https://doi.org/10.1007/978-3-319-76935-6_14
Publikováno v:
CoDIT
This paper deals with the modelling, simulation and control of a wave power plant installed in the northern cost of Spain. This plant is an onshore Oscillating Water Column (OWC) composed of a Wells turbine coupled to a Doubly Fed Induction Generator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd7620bd87b975f60b39d65b527bf24c
https://doi.org/10.1109/codit.2017.8102718
https://doi.org/10.1109/codit.2017.8102718
Publikováno v:
CoDIT
This paper deals with the design, modeling and control of a Tidal Stream Generator (TSG) system including a tidal turbine, a rotor shaft and a Doubly Fed Induction Generator (DFIG). Below high tidal speed the system is regulated so that for every tid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81e392a37b1a227ace865853a7bce0f2
https://doi.org/10.1109/codit.2017.8102730
https://doi.org/10.1109/codit.2017.8102730
Publikováno v:
Drones, Vol 6, Iss 12, p 385 (2022)
Path planning with collision avoidance for unmanned aerial vehicles (UAVs) in environments with moving obstacles is a complex process of navigation, often considered a hard optimization problem. Ordinary resolution algorithms may fail to provide flya
Externí odkaz:
https://doaj.org/article/5a9ec8c6921f423ab49273ed8c2abccf
Publikováno v:
Sensors, Vol 22, Iss 5, p 1826 (2022)
The path planning of Unmanned Aerial Vehicles (UAVs) is a complex and hard task that can be formulated as a Large-Scale Global Optimization (LSGO) problem. A higher partition of the flight environment leads to an increase in route’s accuracy but at
Externí odkaz:
https://doaj.org/article/b637cfd2f26b46a9b9341354ab054f5b