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ID 34803
本文ファイル
著者
Fujimoto, Kenji
キーワード
Nonlinear control
Hamiltonian systems
Iterative learning control
Repetitive control
NDC
機械工学
抄録(英)
This paper is concerned with repetitive control of Hamiltonian systems, which is based on iterative learning control utilizing the variational symmetry of those systems. Variational symmetry allows us to obtain an algorithm to solve a certain class of optimal control problems in a repetitive control framework. Therefore, the proposed method can deal with not only trajectory tracking control problems but also optimal trajectory generation problems, never before considered in a repetitive control framework. A convergence analysis of this algorithm is also discussed. Furthermore, some numerical simulations demonstrate the effectiveness of the proposed method.
掲載誌名
Systems & Control Letters
60巻
9号
開始ページ
763
終了ページ
770
出版年月日
2011
出版者
Elsevier Science BV
ISSN
0167-6911
NCID
出版者DOI
言語
英語
NII資源タイプ
学術雑誌論文
広大資料タイプ
学術雑誌論文
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
author
権利情報
This is a preprint of an article submitted for consideration in Systems & Control Letters (c) 2011 Elsevier B.V. ; Systems & Control Letters are available online at ScienceDirect with the open URL of your article;
関連情報URL
部局名
工学研究科