Linear System Identification in a Nonlinear Setting: Nonparametric Analysis of the Nonlinear Distortions and Their Impact on the Best Linear Approximation.

Joannes Franciscus Schoukens, Mark Vaes, Rik Pintelon

Research output: Contribution to journalArticle

61 Citations (Scopus)

Abstract

Linear system identification [1]?[4] is a basic step in modern control design approaches. Starting from experimental data, a linear dynamic time-invariant model is identified to describe the relationship between the reference signal and the output of the system. At the same time, the power spectrum of the unmodeled disturbances is identified to generate uncertainty bounds on the estimated
Original languageEnglish
Pages (from-to)38-69
JournalIEEE Control Systems Magazine
Volume36
Issue number3
DOIs
Publication statusPublished - 1 Jun 2016

Keywords

  • Data models
  • Distortion measurement
  • Frequency measurement
  • Linear systems
  • Nonlinear distortion
  • Nonlinear systems
  • Uncertainty

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