Hybrid model-based and data-driven disturbance prediction for precise quadrotor trajectory tracking-Reference-Cited by-同舟云学术

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Hybrid model-based and data-driven disturbance prediction for precise quadrotor trajectory tracking

Published:2024-10 Issue: Volume:136 Page:108895
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Lee Changhyeon^ORCID,Son Junwoo Jason,Yoon Seongwon,Jeon Soo^ORCID,Han Soohee^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. Software security estimation using the hybrid fuzzy ANP-TOPSIS approach: Design tactics perspective;Agrawal;Symmetry,2020

2. Robust backstepping sliding mode control for a quadrotor trajectory tracking application;Almakhles;IEEE Access,2019

3. Spectrally-normalized margin bounds for neural networks;Bartlett,2017

4. Disturbance observer based control for nonlinear systems;Chen;IEEE/ASME Trans. Mechatronics,2004

5. Quadrotors trajectory tracking using a differential flatness-quaternion based approach;Choutri,2017

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