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

Fu-Chuang Chen*

*此作品的通信作者

研究成果: Conference contribution同行評審

19 引文 斯高帕斯(Scopus)

摘要

A backpropagation 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 backpropagation neural networks have the capability to learn arbitrary nonlinearity and show great potential for adaptive control applications. A scheme for combining backpropagation neural networks with self-tuning adaptive control techniques is proposed. The control mechanism is analyzed. Simulation results show that the new self-tuning scheme can deal with a large unknown nonlinearity.

原文English
主出版物標題Proc IEEE Int Symp Intell Control 1989
編輯Arthur C. Sanderson, Alan A. Desrochers, Kimon Valavanis
發行者Publ by IEEE
頁面274-279
頁數6
ISBN(列印)0818689870
DOIs
出版狀態Published - 1 12月 1989
事件Proceedings: IEEE International Symposium on Intelligent Control 1989 - Albany, NY, USA
持續時間: 25 9月 198926 9月 1989

出版系列

名字Proc IEEE Int Symp Intell Control 1989

Conference

ConferenceProceedings: IEEE International Symposium on Intelligent Control 1989
城市Albany, NY, USA
期間25/09/8926/09/89

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