A blind approach to the Hammerstein-Wiener model identification

  • Authors:

  • Er-Wei Bai

  • Affiliations:

  • Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2002

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Abstract

In this paper, we propose a blind approach to the sampled Hammerstein-Wiener model identification. By using the blind approach, it is shown that all internal variables can be recovered solely based on the output measurements. Then, identification of linear and nonlinear parts can be carried out. No a priori structural knowledge about the input nonlinearity is assumed and no white noise assumption is imposed on the input.