Robust control for nonlinear systems by Universal Learning Network considering fuzzy criterion and second order derivatives

Masanao Ohbayashi*, Kotaro Hirasawa, Katsuyuki Toshimitsu, Junichi Murata, Jinglu Hu

*この研究の対応する著者

研究成果: Paper査読

9 被引用数 (Scopus)

抄録

Control systems using neural networks have been used recently in many fields, but some problems remain unsolved. One of the problems which should be overcome is to enhance the robustness of the neural network control systems. In this paper, a new robust control method is proposed, which is based on the second order derivatives of Universal Learning Network and fuzzy criterion function.

本文言語English
ページ968-973
ページ数6
出版ステータスPublished - 1998 1 1
外部発表はい
イベントProceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) - Anchorage, AK, USA
継続期間: 1998 5 41998 5 9

Other

OtherProceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3)
CityAnchorage, AK, USA
Period98/5/498/5/9

ASJC Scopus subject areas

  • ソフトウェア

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