On the opposite side, the LNA troops are being supported by the Wing Loong II, acquired from China by the UAE and Saudi Arabia. The drone was probably supplied by another supporting country. The Orbiter-3 can stay airborne for up to seven hours and is used in the intelligence, surveillance, target acquisition and reconnaissance (ISTAR) missions. The Israeli Orbiter-3 UAS, manufactured by Aeronautics, has also been operated by the GNA, with two of three allegedly delivered to the GNA being shot down at the end of July.
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The drones are thought to have been delivered aboard a ship in May and subsequently split between Misurata and Tripoli-Metiga, with Turkish personnel operating them.Īs recently as June 21, the Libyan Address Journal reported that eight GNA pilots went to Turkey to learn how to operate the Bayraktar UAS, although another 12 refused. The Bayraktar TB2, operated by Turkey but purchased by Qatar, is the GNA’s UAV of choice. Ukraine has joined the Turkey and Qatar side and, according to one source, is now a huge source for weapons.Īgainst a backdrop of unserviceable old helicopters and combat aircraft, both the GNA and LNA have resorted to fighting each other with armed unmanned air vehicles (UAVs). The latter, alongside Egypt, do not want Erdogan, funded by the Qataris, doing the same in Libya. This saw both Turkey and Qatar ostracised by former Arab allies Saudi Arabia and the UAE. Along with Qatar, he helped the rise of the organisation in Egypt during 2011, before it was crushed. Turkey’s President Recep Tayyip Erdogan is a supporter of the Muslim Brotherhood factions within GNA. The GNA is trying to stem the advances of Benghazi’s Libyan National Army (LNA), led by Khalifa Haftar and backed by the United Arab Emirates, Egypt and Saudi Arabia, and supported by the USA. With NN based MFG to satisfy the required conditions.Turkey has been propping up the Tripoli-based Government of National Accord (GNA), recognised by the United Nations as Libya’s Government. Therefore, the federated learning (FL)Īpproach which can share the model parameters of NNs at drones, is proposed Nevertheless, using an approximate solution can violate the conditions forĬonvergence of the MFG framework.
Hamilton-Jacobi-Bellman (HJB) and Fokker-Planck-Kolmogorov (FPK) equations. On neural networks (NN) is utilized to approximate the solutions of This requirement limits the usage of the MFG framework for real-timeĪpplications such as massive UAV control. Powerful processors are required to obtain the control laws at different UAVs. One method ofĬontrol is to apply the mean-field game (MFG) framework which substantially Which is impossible to implement in real-time applications.
Interactions among them to make a flock requires a huge inter-UAV communication The straightforward method of control of UAVs by considering the
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Download a PDF of the paper titled Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory, by Hamid Shiri and 2 other authors Download PDF Abstract: This paper investigates the control of a massive population of UAVs such asĭrones.
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