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Tilt control design for high-speed trains: A study on multi-objective tuning approaches

This paper presents work on a hybrid fuzzy control scheme to improve the performance of tilting trains using a nulling-based tilt strategy. Two multi-objective genetic algorithm tuning methods (MOGA and NSGAII) were employed to optimise both the fuzzy output membership functions and the controller p...

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書誌詳細
主要な著者:	Zamzuri, Hairi, Zolotas, Argyrios C., Goodall, Roger M.
フォーマット:	論文
出版事項:	Swets & Zeitlinger 2008
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/id/eprint/12785/ http://dx.doi.org/10.1080/00423110801993151
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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