Novel Levenberg–Marquardt based learning algorithm for unmanned aerial vehicles

• Main Authors: Sarabakha, Andriy, Imanberdiyev, Nursultan, Kayacan, Erdal, Khanesar, Mojtaba Ahmadieh, Hagras, Hani
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Sliding Mode Control; Fuzzy Neural Networks
• Online Access: https://hdl.handle.net/10356/87242; http://hdl.handle.net/10220/44385
• Institution: Nanyang Technological University

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...