System Identification in H[∞] for Multiple Sets of Data (特集 データ指向型モデリング/予測/制御) System Identification in H^∞ for Multiple Sets of Data

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Author(s)

Abstract

This paper studies identification in <i>H</i><sup>∞</sup> based on multiple sets of data in the frequency domain. The traditional <i>H</i><sup>∞</sup> worst-case identification and the stochastic identification settings are revisited, and a new problem formulation is presented by modifying the <i>H</i><sup>∞</sup> 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.

Journal

  • IEEJ Transactions on Electronics, Information and Systems

    IEEJ Transactions on Electronics, Information and Systems 132(6), 926-931, 2012-06-01

    The Institute of Electrical Engineers of Japan

References:  24

Codes

  • NII Article ID (NAID)
    10030606509
  • NII NACSIS-CAT ID (NCID)
    AN10065950
  • Text Lang
    ENG
  • Article Type
    ART
  • ISSN
    03854221
  • NDL Article ID
    023823672
  • NDL Call No.
    Z16-795
  • Data Source
    CJP  NDL  J-STAGE 
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