Art

J-GLOBAL ID：202002249747007933   Reference number：20A0418720

A Design Method for Gain-Scheduled Force Controller Based on Data-Driven Controller Design Method and Machine Learnings

データ駆動型制御器設計法と機械学習に基づいたゲインスケジュールド力制御器の設計法の提案

Author (4)： TSUJII SHOTARO (三重大) ,  YUBAI KAZUHIRO (三重大) ,  YASHIRO DAISUKE (三重大) ,  KOMADA SATOSHI (三重大)
Material： 電気学会研究会資料
Issue： CT-20-001-040 制御研究会  Page： 47-52  Publication year： Jan. 04, 2020 
JST Material Number： Z0924B  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： machine learning ,  *data flow control ,  design ,  *adaptive control ,  *power control ,  support vector machine ,  clustering ,  dendrogram ,  discriminant function
Semi thesaurus term： SVM ,  *gain-scheduled control ,  *data driven ,  dendrogram ,  hierarchical clustering ,  control design

JST classification (2)： System design and analysis  (IA02030D) ,  Artificial intelligence  (JE08000Z)

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• T. Mikami: “Practical Apply of Precision Finishing Robot System and the Future Trend of Development”, Journal of Robotics Society of Japan, Vol.34, No.10, pp.676-678, 2016.

Terms in the title (6)： データ駆動 ,  制御器 ,  設計法 ,  機械学習 ,  力制御 ,  提案