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A Minimax robust control method is proposed for nonlinear systems based on the use of the higher order derivatives calculation of Universal Learning Networks(ULNs). An extended criterion function containing sensitivity terms is considered for controller design and the criterion function is evaluated at several specific operating points corresponding to certain system parameters. The ULNs learning is then performed in such a way that, at each step, it minimizes the worst criterion function among several operating points. It is found that the proposed control method is less time-consuming in the ULNs learning and obtained controller has better performance than the conventional methods.
収録刊行物
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- 九州大学大学院システム情報科学紀要
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九州大学大学院システム情報科学紀要 5 (1), 51-56, 2000-03-24
九州大学大学院システム情報科学研究院
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詳細情報 詳細情報について
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- CRID
- 1390290699820233600
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- NII論文ID
- 110000579940
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- NII書誌ID
- AN10569524
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- DOI
- 10.15017/1513727
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- ISSN
- 21880891
- 13423819
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- HANDLE
- 2324/1513727
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- NDL書誌ID
- 5326541
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- IRDB
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用可