Feedback Error Learning with Insufficient Excitation

Basel Alali, Kentaro Hirata, Kenji Sugimoto

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This letter studies the tracking error in Multi-input Multioutput Feed back Error Learning(MIMO-FEL) system having insufficient excitation. It is shown that the error converges to zero exponentially even if the reference signal lacks the persistently excitation (PE)condition. Furthermore, by making full use of this fast convergence,we estimateb the plant parametewr while in operation based on frequency response. Simulatin - results show the effectiveness of the proposed method compared to a conventional approach.

Original languageEnglish
Pages (from-to)3071-3075
Number of pages5
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE91-A
Issue number10
DOIs
Publication statusPublished - Oct 2008
Externally publishedYes

Fingerprint

Excitation
Feedback
Learning Systems
Frequency Response
Frequency response
Learning systems
Converge
Zero
Learning

Keywords

  • Arameteer stimation
  • Daptivec ontrolp
  • Feedbacke rrorl earningl
  • Inears ystemsa

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics
  • Signal Processing

Cite this

Feedback Error Learning with Insufficient Excitation. / Alali, Basel; Hirata, Kentaro; Sugimoto, Kenji.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E91-A, No. 10, 10.2008, p. 3071-3075.

Research output: Contribution to journalArticle

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