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

Fu-Chuang Chen

doi:10.1109/ISIC.1989.238682

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

Fu-Chuang Chen^*

^*此作品的通信作者

電控工程研究所

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	https://doi.org/10.1109/ISIC.1989.238682
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 1989 → 26 9月 1989

出版系列

名字	Proc IEEE Int Symp Intell Control 1989

Conference

Conference	Proceedings: IEEE International Symposium on Intelligent Control 1989
城市	Albany, NY, USA
期間	25/09/89 → 26/09/89

存取文件

10.1109/ISIC.1989.238682

其它文件與鏈接

Link to publication in Scopus

引用此

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title = "Back-propagation neural network for nonlinear self-tuning adaptive control",

abstract = "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.",

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year = "1989",

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editor = "Sanderson, {Arthur C.} and Desrochers, {Alan A.} and Kimon Valavanis",

booktitle = "Proc IEEE Int Symp Intell Control 1989",

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Chen, F-C 1989, Back-propagation neural network for nonlinear self-tuning adaptive control. 於 AC Sanderson, AA Desrochers & K Valavanis (編輯), Proc IEEE Int Symp Intell Control 1989. Proc IEEE Int Symp Intell Control 1989, Publ by IEEE, 頁 274-279, Proceedings: IEEE International Symposium on Intelligent Control 1989, Albany, NY, USA, 25/09/89. https://doi.org/10.1109/ISIC.1989.238682

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AB - 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.

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M3 - Conference contribution

AN - SCOPUS:0024932002

SN - 0818689870

T3 - Proc IEEE Int Symp Intell Control 1989

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BT - Proc IEEE Int Symp Intell Control 1989

A2 - Sanderson, Arthur C.

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PB - Publ by IEEE

Y2 - 25 September 1989 through 26 September 1989

ER -

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

摘要

出版系列

Conference

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其它文件與鏈接

指紋

引用此