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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2016 European Control Conference, ECC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1377-1382
Number of pages6
ISBN (Electronic)9781509025916
DOIs
Publication statusPublished - 2017 Jan 6
Event2016 European Control Conference, ECC 2016 - Aalborg, Denmark
Duration: 2016 Jun 292016 Jul 1

Other

Other2016 European Control Conference, ECC 2016
CountryDenmark
CityAalborg
Period16/6/2916/7/1

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

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