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

計測制御工学

研究成果: 会議への寄与タイプ › 学会誌 › 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	英語
ページ	968-973
ページ数	6
出版ステータス	出版済み - 1月 1 1998
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: 5月 4 1998 → 5月 9 1998

その他

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

!!!All Science Journal Classification (ASJC) codes

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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: 会議への寄与タイプ › 学会誌 › 査読

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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",

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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",

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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.

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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

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その他

!!!All Science Journal Classification (ASJC) codes

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