Observer-Based Adaptive Neural Control of Quadrotor Unmanned Aerial Vehicles Subject to Model Uncertainties and External Disturbances

Observer-Based Adaptive Neural Control of Quadrotor Unmanned Aerial Vehicles Subject to Model Uncertainties and External Disturbances

Quadrotor unmanned aerial vehicles (QUAVs) are widely recognized for their versatility and advantages across diverse applications. However, their inherent instability and underactuated dynamics pose significant challenges, particularly under external disturbances and parametric model uncertainties....

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Bibliographic Details
Main Authors: Rashin Mousavi, Arash Mousavi, Yashar Mousavi, Mahsa Tavasoli, Aliasghar Arab, Ibrahim Beklan Kucukdemiral, Afef Fekih
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Actuators
Subjects:
quadrotor UAV control
adaptive control
high-gain disturbance observer
neural-network-based control
external disturbance
model uncertainty
Online Access:https://www.mdpi.com/2076-0825/13/12/529
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