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

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月 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月 4 → 1998 5月 9

Other

Other	Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3)
City	Anchorage, AK, USA
Period	98/5/4 → 98/5/9

ASJC Scopus subject areas

ソフトウェア

他のファイルとリンク

引用スタイル

Robust control for nonlinear systems by Universal Learning Network considering fuzzy criterion and second order derivatives. / Ohbayashi, Masanao; Hirasawa, Kotaro; Toshimitsu, Katsuyuki その他.
1998. 968-973 Paper presented at Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3), Anchorage, AK, USA.

研究成果: Paper › 査読

@conference{78338f2b1c8a4f6092338d046679bf6a,

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

abstract = "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.",

author = "Masanao Ohbayashi and Kotaro Hirasawa and Katsuyuki Toshimitsu and Junichi Murata and Jinglu Hu",

year = "1998",

month = jan,

day = "1",

language = "English",

pages = "968--973",

note = "Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) ; Conference date: 04-05-1998 Through 09-05-1998",

}

TY - CONF

T1 - Robust control for nonlinear systems by Universal Learning Network considering fuzzy criterion and second order derivatives

AU - Ohbayashi, Masanao

AU - Hirasawa, Kotaro

AU - Toshimitsu, Katsuyuki

AU - Murata, Junichi

AU - Hu, Jinglu

PY - 1998/1/1

Y1 - 1998/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0031644261&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031644261&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0031644261

SP - 968

EP - 973

T2 - Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3)

Y2 - 4 May 1998 through 9 May 1998

ER -

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

抄録

Other

ASJC Scopus subject areas

他のファイルとリンク

フィンガープリント

引用スタイル