Intelligent Control for Unmanned Aerial Systems with System Uncertainties and Disturbances Using Artificial Neural Network
Stabilizing the Unmanned Aircraft Systems (UAS) under complex environment including system uncertainties, unknown noise and/or disturbance is so challenging. Therefore, this paper proposes an adaptive neural network based intelligent control method to overcome these challenges. Based on a class of a...
Main Authors: | Mohammad Jafari, Hao Xu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-08-01
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Series: | Drones |
Subjects: | |
Online Access: | http://www.mdpi.com/2504-446X/2/3/30 |
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