Adaptive Regulator Using Neural Network
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- Xu Bing Hong
- Yamamoto Electric Corporation
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- Tsuji Toshio
- Hiroshima University
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- Hamatsu Kyoji
- Yamamoto Electric Corporation
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- Iijima Masahiko
- Yamamoto Electric Corporation
Bibliographic Information
- Other Title
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- ニューラルネットを用いた適応レギュレータの構成法
- ニューラルネット オ モチイタ テキオウ レギュレータ ノ コウセイホウ
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Abstract
This paper proposes an adaptive regulator using a neural network. For a class of systems with linear and nonlinear modeling errors, the conventional optimal regulator is designed based on a known linear part of the controlled system, and the modeling errors included in the controlled system are identified using the neural network. At the same time, the neural network adaptively compensates a control input computed by the predesigned optimal regulator. The proposed regulator is applied to systems with linear and nonlinear modeling errors and simulation experiments are carried out. Results of the computer simulations show the effectiveness of the proposed method.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 119 (6), 809-815, 1999
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679634096768
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- NII Article ID
- 10002818505
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 4739212
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed