Inverting nonminimum-phase systems from the perspectives of feedforward and ILC

J.C.D. van Zundert, T.A.E. Oomen

Research output: Contribution to journalConference articleAcademicpeer-review

2 Citations (Scopus)
27 Downloads (Pure)

Abstract

System inversion is at the basis of many feedforward and learning control algorithms. This paper aims to analyze several of these approaches in view of their subsequent use, showing inappropriate use that is previously overlooked. This leads to new insights and approaches for both feedforward and learning. The methods are compared in various aspects, including finite vs. infinite preview, exact vs. approximate, and quality of inversion in various norms which directly relates to their use. The results are validated on a nonminimum-phase benchmark system.
Original languageEnglish
Pages (from-to)12101-12106
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
Publication statusPublished - Jul 2017
Event20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, France
Duration: 9 Jul 201714 Jul 2017
Conference number: 20
https://www.ifac2017.org/

Keywords

  • Feedforward control
  • ILC
  • Model inversion
  • Nonminimum phase

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