Online deep learning for improved trajectory tracking of unmanned aerial vehicles using expert knowledge

• المؤلفون الرئيسيون: Sarabakha, Andriy, Kayacan, Erdal
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Training; Fuzzy Logic
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/141407

This work presents an online learning-based control method for improved trajectory tracking of unmanned aerial vehicles using both deep learning and expert knowledge. The proposed method does not require the exact model of the system to be controlled, and it is robust against variations in system dy...