Gyro Error Compensation in Optoelectronic Platform Based on a Hybrid ARIMA-Elman Model

Gyro Error Compensation in Optoelectronic Platform Based on a Hybrid ARIMA-Elman Model

As an important angle sensor of the opto-electric platform, gyro output accuracy plays a vital role in the stabilization and track accuracy of the whole system. It is known that the generally used fixed-bandwidth filters, single neural network models, or linear models cannot compensate for gyro erro...

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Bibliographic Details
Main Authors: Xingkui Xu, Chunfeng Wu, Qingyu Hou, Zhigang Fan
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Algorithms
Subjects:
drift error
airborne platform
evolutionary algorithm
recurrent artificial neural networks
nonlinear series prediction
Online Access:http://www.mdpi.com/1999-4893/12/1/22

Internet

http://www.mdpi.com/1999-4893/12/1/22

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