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On Behavioral Model Identification

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Author

Summary, in English

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.

Publishing year

2004

Language

English

Pages

1089-1100

Publication/Series

Signal Processing

Volume

84

Issue

7

Document type

Journal article

Publisher

Elsevier

Topic

  • Control Engineering

Keywords

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

Status

Published

ISBN/ISSN/Other

  • ISSN: 0165-1684