Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity

Er-Wei Bai, J. Reyland Jr.

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

In this paper, we investigate what constitutes the least amount of a priori information on the nonlinearity so that the FIR linear part is identifiable in the non-Gaussian input case. Three types of a priori information are considered including quadrant information, point information and locally monotonous information. In all three cases, identifiability has been established and corresponding identification algorithms are developed with their convergence proofs.
Original languageEnglish
Pages (from-to)910-919
Number of pages10
JournalAutomatica
Volume44
Issue number4
DOIs
Publication statusPublished - Apr 2008

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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