Subspace identification method incorporated with a priori information characterized in frequency domain

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

We propose a subspace identification method that involves a priori information of the system characterized in the frequency domain. Some properties of the system over all frequency range are transformed into matrix inequalities that are linear in system matrices, by using the well-known Kalman-Yakubovich-Popov (KYP) lemma. To construct a model that represents the specified frequency characteristics, we formulate a subspace identification problem under the matrix inequality constraints. This constrained problem is in a class of nonlinear optimization problems, then we reduce it to a convex one by applying a proper transformation. Furthermore, the proposed method is extended to that incorporated with a priori information characterized only in a certain frequency range. Finally, we verify the effectiveness of the proposed method in a numerical simulation.

本文言語English
ホスト出版物のタイトル2016 European Control Conference, ECC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1377-1382
ページ数6
ISBN(電子版)9781509025916
DOI
出版ステータスPublished - 2017 1月 6
イベント2016 European Control Conference, ECC 2016 - Aalborg, Denmark
継続期間: 2016 6月 292016 7月 1

Other

Other2016 European Control Conference, ECC 2016
国/地域Denmark
CityAalborg
Period16/6/2916/7/1

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 制御と最適化

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