Closed-loop identification based on MIMO feedback error learning

Basel Alali, Kentaro Hirata, Kenji Sugimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Motivated by the recent development of Feedback Error Learning (FEL), this paper proposes a method for closed-loop identification of a Multi Input Multi Output (MIMO) plant. Given a control system roughly designed, a feedforward controller is constructed by learning to achieve desirable responses. Then the learned feedforward controller gives a model of the plant, which will be effective for re-designing the control system to improve the performance. The effectiveness of the method is verified through numerical simulation.

Original languageEnglish
Title of host publication9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing", ALCOSP'2007 - Final Program and Abstracts
PublisherIFAC Secretariat
Pages62-68
Number of pages7
EditionPART 1
ISBN (Print)9783902661296
DOIs
Publication statusPublished - 2007
Externally publishedYes

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume9
ISSN (Print)1474-6670

Keywords

  • Closed-loop identification
  • Feedback error learning
  • MIMO system

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Alali, B., Hirata, K., & Sugimoto, K. (2007). Closed-loop identification based on MIMO feedback error learning. In 9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing", ALCOSP'2007 - Final Program and Abstracts (PART 1 ed., pp. 62-68). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 9, No. PART 1). IFAC Secretariat. https://doi.org/10.3182/20070829-3-ru-4911.00009