Vision-Based Adaptive Neural Positioning Control of Quadrotor Aerial Robot

Vision-Based Adaptive Neural Positioning Control of Quadrotor Aerial Robot

In this paper, a new vision-based adaptive control algorithm is proposed for the positioning of a quadrotor aerial robot (QAR) with an onboard pin-hole camera. First, the transformation between the position tracking error and image projection error is constructed through the spherical projection met...

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Bibliographic Details
Main Authors: Yi Lyu, Guanyu Lai, Ci Chen, Yun Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Adaptive control
neural networks
underactuation
position tracking
quadrotor aerial robots
nonlinear systems
Online Access:https://ieeexplore.ieee.org/document/8730315/

Internet

https://ieeexplore.ieee.org/document/8730315/

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