Novel Levenberg–Marquardt based learning algorithm for unmanned aerial vehicles

• المؤلفون الرئيسيون: Sarabakha, Andriy, Imanberdiyev, Nursultan, Kayacan, Erdal, Khanesar, Mojtaba Ahmadieh, Hagras, Hani
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2018
• الموضوعات: Sliding Mode Control; Fuzzy Neural Networks
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/87242; http://hdl.handle.net/10220/44385

In this paper, Levenberg–Marquardt inspired sliding mode control theory based adaptation laws are proposed to train an intelligent fuzzy neural network controller for a quadrotor aircraft. The proposed controller is used to control and stabilize a quadrotor unmanned aerial vehicle in the presence of...