IEICE TRANSACTIONS on Fundamentals
Feedback Error Learning with Insufficient Excitation
Summary :
This letter studies the tracking error in Multi-input Multi-output Feedback 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 estimate the plant parameter while in operation based on frequency response. Simulation results show the effectiveness of the proposed method compared to a conventional approach.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.10 pp.3071-3075
- Publication Date
- 2008/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.10.3071
- Type of Manuscript
- LETTER
- Category
- Systems and Control
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Basel ALALI, Kentaro HIRATA, Kenji SUGIMOTO, "Feedback Error Learning with Insufficient Excitation" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 10, pp. 3071-3075, October 2008, doi: 10.1093/ietfec/e91-a.10.3071.
Abstract: This letter studies the tracking error in Multi-input Multi-output Feedback 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 estimate the plant parameter while in operation based on frequency response. Simulation results show the effectiveness of the proposed method compared to a conventional approach.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.10.3071/_p
Copy
@ARTICLE{e91-a_10_3071,
author={Basel ALALI, Kentaro HIRATA, Kenji SUGIMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Feedback Error Learning with Insufficient Excitation},
year={2008},
volume={E91-A},
number={10},
pages={3071-3075},
abstract={This letter studies the tracking error in Multi-input Multi-output Feedback 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 estimate the plant parameter while in operation based on frequency response. Simulation results show the effectiveness of the proposed method compared to a conventional approach.},
keywords={},
doi={10.1093/ietfec/e91-a.10.3071},
ISSN={1745-1337},
month={October},}
Copy
TY - JOUR
TI - Feedback Error Learning with Insufficient Excitation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3071
EP - 3075
AU - Basel ALALI
AU - Kentaro HIRATA
AU - Kenji SUGIMOTO
PY - 2008
DO - 10.1093/ietfec/e91-a.10.3071
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2008
AB - This letter studies the tracking error in Multi-input Multi-output Feedback 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 estimate the plant parameter while in operation based on frequency response. Simulation results show the effectiveness of the proposed method compared to a conventional approach.
ER -
English
