Minimax Control of Nonlinear Systems Using Universal Learning Networks
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- Chen Hongping
- Department of Electrical and Electronic Systems Engineering, Graduate School of Information Science and Electrical Engineering, Kyushu University : Graduate Student
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- Hirasawa Kotaro
- Department of Electrical and Electronic Systems Engineering, Graduate School of Information Science and Electrical Engineering, Kyushu University
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- Hu Jinglu
- Department of Electrical and Electronic Systems Engineering, Graduate School of Information Science and Electrical Engineering, Kyushu University
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- Murata Junichi
- Department of Electrical and Electronic Systems Engineering, Graduate School of Information Science and Electrical Engineering, Kyushu University
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Abstract
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.
Journal
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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
Faculty of Information Science and Electrical Engineering, Kyushu University
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Details 詳細情報について
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- CRID
- 1390290699820233600
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- NII Article ID
- 110000579940
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- NII Book 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 BIB ID
- 5326541
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- Text Lang
- en
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- Data Source
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- JaLC
- IRDB
- NDL
- CiNii Articles
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- Abstract License Flag
- Allowed