Feedback Error Learning with Insufficient Excitation

Basel Alali; Kentaro Hirata; Kenji Sugimoto

doi:10.1093/ietfec/e91-a.10.3071

Feedback Error Learning with Insufficient Excitation

Basel Alali, Kentaro Hirata, Kenji Sugimoto

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	3071-3075
Number of pages	5
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E91-A
Issue number	10
DOIs	https://doi.org/10.1093/ietfec/e91-a.10.3071
Publication status	Published - Oct 2008
Externally published	Yes

Keywords

Arameteer stimation
Daptivec ontrolp
Feedbacke rrorl earningl
Inears ystemsa

ASJC Scopus subject areas

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

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10.1093/ietfec/e91-a.10.3071

Cite this

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author = "Basel Alali and Kentaro Hirata and Kenji Sugimoto",

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AU - Alali, Basel

AU - Hirata, Kentaro

AU - Sugimoto, Kenji

PY - 2008/10

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N2 - 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.

AB - 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.

KW - Arameteer stimation

KW - Daptivec ontrolp

KW - Feedbacke rrorl earningl

KW - Inears ystemsa

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Feedback Error Learning with Insufficient Excitation

Abstract

Keywords

ASJC Scopus subject areas

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