A New Minimax Control Method for Nonlinear Systems Using Universal Learning Networks
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- CHEN Hongping
- Kyushu University
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- HIRASAWA Kotaro
- Kyushu University
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- HU Jinglu
- Kyushu University
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- MURATA Junichi
- Kyushu University
Bibliographic Information
- Other Title
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- New Minimax Control Method for Nonlinear Systems Using Universal Learning Networks
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Abstract
In neural network based control systems, if system environments, that is, system parameters and distur-bances at training stage, are much different from those at control stage, performances of control systems may become worse. To solve this problem, robust control design is needed. In this paper, we propose a new minimax control method using Universal Learning Networks, in which the criterion function is evaluated at several specific operating points, and at each training step the worst criterion function among the operating points is optimized. Moreover, a sensitivity term calculated on the operating point is included in the crite-rion function in order to improve the performance of the control system between two operating points. The minimax control method including sensitivity term is shown to have better robustness against the changes of system parameters.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 121 (9), 1471-1478, 2001
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
- 1390282679587765120
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- NII Article ID
- 130006845812
- 10006760111
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 5894377
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed