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

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...

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書目詳細資料
Main Authors: Sarabakha, Andriy, Kayacan, Erdal
其他作者: School of Mechanical and Aerospace Engineering
格式: Conference or Workshop Item
語言:English
出版: 2020
主題:
在線閱讀:https://hdl.handle.net/10356/141407
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機構: Nanyang Technological University
語言: English