System Identification in H∞ for Multiple Sets of Data

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2012/06/01

タイトル(英語): System Identification in H∞ for Multiple Sets of Data

著者名: Hideyuki Tanaka (Graduate School of Education, Hiroshima University)

著者名(英語): Hideyuki Tanaka (Graduate School of Education, Hiroshima University)

キーワード: H∞ worst-case identification，subspace system identification，multiple sets of data，robust control

要約(英語): This paper studies identification in H∞ based on multiple sets of data in the frequency domain. The traditional H∞ worst-case identification and the stochastic identification settings are revisited, and a new problem formulation is presented by modifying the H∞ worst-case identification setting. In the literature, given a single set of data, the limited experimental information subject to finite samples has been focused on, while this paper considers uncertainty modeling given multiple sets of data. It is shown that the problem is solved by means of linear matrix inequalities and subspace identification methods in the frequency domain.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.6 （2012） 特集：データ指向型モデリング/予測/制御

本誌掲載ページ: 926-931 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/132/6/132_926/_article/-char/ja/