<b>Simplication of Non-parametric PWA Models based on </b><i>ℓ</i><sub>1 </sub><b>Optimization</b>

DOI 2 References

Bibliographic Information

Other Title
  • ノンパラメトリック区分的アフィンモデルの<i>ℓ</i><sub>1 </sub>最適化に基づく単純化
  • Simplication of Non-parametric PWA Models based on ℓ1 Optimization

Abstract

This paper is concerned with construction of non-parametric PWA(Piecewise Affine) models using ℓ1 optimization. Though its effectiveness was demonstrated in the literature, the number of modes in the models tends to increase over ten thousands. Hence it is difficult to apply the existing control methods. This paper proposes a method to reduce the modes of this model by defining the significance of data based on ℓ1 optimization. Also by this method the size of data to represent this model becomes small. The performance of the method is shown through an application to the non-parametoric PWA model of motor.

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Details 詳細情報について

  • CRID
    1390001205165880576
  • NII Article ID
    130004565052
  • DOI
    10.5687/iscie.27.141
  • ISSN
    2185811X
    13425668
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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