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On Behavioral Model Identification

Publiceringsår: 2004
Språk: Engelska
Sidor: 1089-1100
Publikation/Tidskrift/Serie: Signal Processing
Volym: 84
Nummer: 7
Dokumenttyp: Artikel
Förlag: Elsevier


This paper presents theory andalgorithms for system identification suitable for the framework of behavioral system theory. An algorithm basedon algebraic system theory and realization theory (Ho-Kalman realization) in a subspace model identification framework is presented. The novel approach taken consists of the formulation of input-output data as an impulse response model and the subsequent application of state-space realization. The method provides an approximation framework for simultaneous model identification and signal reconstruction.



  • Technology and Engineering
  • Time-series analysis
  • System identification
  • Behavioral systems
  • State-space system


  • ISSN: 0165-1684

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