Enhanced Trajectory Control of Quadrotor UAV Using Fuzzy PID Based Recurrent Neural Network Controller
This paper presents a novel Fuzzy PID-based Recurrent Neural Network (FPIDRNN) controller designed to enhance trajectory control in quadrotor Unmanned Aerial Vehicles (UAVs). Conventional control approaches such as Proportional-Integral-Derivative (PID) and Fuzzy PID (FPID) require extensive tuning...
I tiakina i:
| Ngā kaituhi matua: | , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
IEEE
2024-01-01
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| Rangatū: | IEEE Access |
| Ngā marau: | |
| Urunga tuihono: | https://ieeexplore.ieee.org/document/10794762/ |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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