Back-propagation neural networks for nonlinear self-tuning adaptive control

Fu-Chuang Chen*

*此作品的通信作者

研究成果: Article同行評審

210 引文 斯高帕斯(Scopus)

摘要

A back-propagation neural network is applied to a nonlinear self-tuning tracking problem. Traditional self-tuning adaptive control techniques can only deal with linear systems or some special nonlinear systems. The emerging back-propagation neural networks have the capability to learn arbitrary nonlinearity and show great potential for adaptive control applications. A scheme for combining back-propagation neural networks with self-tuning adaptive control techniques is proposed, and the control mechanism is analyzed. Simulation results show that the new self-tuning scheme can deal with a large unknown nonlinearity.

原文English
頁(從 - 到)44-48
頁數5
期刊IEEE Control Systems Magazine
10
發行號3
DOIs
出版狀態Published - 1 四月 1990

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