Identification of Lifted Models for General Dual-Rate Sampled-Data Systems Using N4SID Algorithm

• Qin Pan

  Graduate school of information science and electrical engineering, Kyushu University

• Kanae Shunshoku

  Graduate school of information science and electrical engineering, Kyushu University

• Yang Zi-Jiang

  Graduate school of information science and electrical engineering, Kyushu University

• Wada Kiyoshi

  Graduate school of information science and electrical engineering, Kyushu University

Abstract

In this paper, we consider the identification problem for a dual-rate system in which the input sampling period may differ from that of the output. Based on the lifting operators, a lifted system which is equivalent to the original dual-rate system can be derived so that a lifted state-space model can be obtained which maps the relations between the dual-rate input-output data. Then the Numerical Subspace State-Space IDentification (N4SID) algorithm is modified and used to identify the lifted state-space model for the first time in the literature, taking the causality constraints of the lifted system into account. Finally, numerical studies are included to show the excellent numerical performance of the proposed algorithm.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 128 (5), 788-794, 2008

  The Institute of Electrical Engineers of Japan

Keywords

• dual-rate sampled-data system
• lifting technique
• lifted model
• causality constraints
• N4SID algorithms

Details

• CRID: 1390282679582700928
• NII Article ID: 10021132452
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.128.788
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 9495617
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9495617
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/128/5/128_5_788/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed