ウェーブレット解析を用いた区分的線形システムのトランジションタイムの推定  [in Japanese] Estimation of the Transition Time of Piecewise Linear Systems by Using Wavelet Analysis  [in Japanese]

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Author(s)

    • 柏尾 知明 KASHIWAO Tomoaki
    • 徳島大学大学院先端技術科学教育部 Graduate School of Advanced Technology and Science, The University of Tokushima
    • 池田 建司 IKEDA Kenji
    • 徳島大学大学院ソシオテクノサイエンス研究部 Graduate School of Institute of Technology and Science, The University of Tokushima
    • 下村 隆夫 SHIMOMURA Takao
    • 徳島大学大学院ソシオテクノサイエンス研究部 Graduate School of Institute of Technology and Science, The University of Tokushima

Abstract

This paper proposes an estimation method of the transition time of hybrid systems in piecewise linear (PWL) form by using wavelet analysis. If each transition time is known, the continuous dynamics between adjacent discrete transitions will be identified by conventional identification method for continuous systems. The discrete transition is represented as a switching of differential equations or a jump of continuous states. These changes can be detected as characteristic patterns in wavelet transform of an output signal. First, detectability of the discrete transition is defined and its necessary and sufficient condition is derived. Under the assumption of the detectability of the discrete transition, an output signal is represented by using Taylor expansion around the transition time. In addition, the characteristic patterns in the wavelet transform of an output signal are analyzed. An estimation method of the transition time based on the analyzed pattern is proposed. Finally, the effectiveness of the proposed method is illustrated by numerical examples.

Journal

  • Transactions of the Society of Instrument and Control Engineers

    Transactions of the Society of Instrument and Control Engineers 45(7), 349-355, 2009-07-31

    The Society of Instrument and Control Engineers

References:  11

Codes

  • NII Article ID (NAID)
    10025090303
  • NII NACSIS-CAT ID (NCID)
    AN00072392
  • Text Lang
    JPN
  • Article Type
    ART
  • ISSN
    04534654
  • NDL Article ID
    10401203
  • NDL Source Classification
    ZM11(科学技術--科学技術一般--制御工学)
  • NDL Call No.
    Z14-482
  • Data Source
    CJP  NDL  J-STAGE 
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