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Neural network self tuning pi control for thin McKibben muscles in an antagonistic pair configuration

This paper proposes a model free neural network self-tuning proportional integral (NNPI) controller for a biceps-triceps thin McKibben muscle (TMM) platform in an antagonistic pair configuration. The study intends to explore the proposed model independent control strategy for TMMs in an antagonistic...

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書誌詳細
主要な著者:	Abdul Hafidz, Muhamad Hazwan, Mohd. Faudzi, Ahmad Athif, Jamaludin, Mohd. Najeb, Norsahperi, Nor Mohd. Haziq
フォーマット:	Conference or Workshop Item
出版事項:	2022
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/id/eprint/98615/ http://dx.doi.org/10.1007/978-3-030-97672-9_9
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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