書誌事項
- タイトル別名
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- Adaptive Control of Wiener Type of Nonlinear Systems Using Neural Networks
- ニューラル ネットワーク オ モチイタ ウィナーガタ ヒセンケイ システム ノ
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This paper proposes new adaptive control schemes with neural networks (NN) for Wiener type of nonlinear systems which have output nonlinearity. Firstly, by adopting a robust adaptive control law and a functional link network (FLN), we present an adaptive linearizing scheme as a primary step for a model reference control scheme, where the FLN compensates the output nonlinearity. Secondly, we analyze the stability of the adaptive linearizing scheme by using a robust adaptive control technique, and clarify that all the parameters are bounded and that the boundedness of all the signals in the closed loop is guaranteed under some reasonable conditions. Thirdly, based on the linearizing scheme, we present a new direct model reference adaptive control scheme by choosing the reference output appropriately. Moreover, the stability of the system is guaranteed under several conditions in a similar manner. Finally, we illustrate the effectiveness of the proposed scheme through some numerical examples.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 117 (5), 609-617, 1997
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679584913408
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- NII論文ID
- 130006843983
- 10002810254
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 4204791
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- データソース種別
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- JaLC
- NDL
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- 抄録ライセンスフラグ
- 使用不可