The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Un schéma d'apprentissage par rétroaction sur erreurs (FEL) s'est avéré applicable au contrôle de l'angle articulaire par stimulation électrique fonctionnelle (FES) dans notre étude précédente. Cependant, le contrôleur FEL-FES a rencontré un problème d'apprentissage du modèle de dynamique inverse (IDM) dans certains cas. Dans cet article, les méthodes d'application du FEL au contrôle FES ont été examinées pour contrôler le mouvement 1-DOF de l'articulation du poignet en stimulant 2 muscles par simulation informatique dans plusieurs conditions de contrôle avec plusieurs modèles de sujets. Il a été suggéré que les problèmes liés à l'application du FEL au contrôleur FES résident dans la limitation de l'intensité de stimulation à des valeurs positives entre les intensités minimale et maximale et dans le cas de très petites valeurs de sortie de l'IDM. L'apprentissage de l'IDM a été grandement amélioré en prenant en compte la plage de sortie IDM en définissant la valeur de sortie ANN minimale dans le calcul du changement de poids de connexion ANN.
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Takashi WATANABE, Kenji KUROSAWA, Makoto YOSHIZAWA, "An Effective Method on Applying Feedback Error Learning Scheme to Functional Electrical Stimulation Controller" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 2, pp. 342-345, February 2009, doi: 10.1587/transinf.E92.D.342.
Abstract: A Feedback Error Learning (FEL) scheme was found to be applicable to joint angle control by Functional Electrical Stimulation (FES) in our previous study. However, the FEL-FES controller had a problem in learning of the inverse dynamics model (IDM) in some cases. In this paper, methods of applying the FEL to FES control were examined in controlling 1-DOF movement of the wrist joint stimulating 2 muscles through computer simulation under several control conditions with several subject models. The problems in applying FEL to FES controller were suggested to be in restricting stimulation intensity to positive values between the minimum and the maximum intensities and in the case of very small output values of the IDM. Learning of the IDM was greatly improved by considering the IDM output range with setting the minimum ANN output value in calculating ANN connection weight change.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.342/_p
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@ARTICLE{e92-d_2_342,
author={Takashi WATANABE, Kenji KUROSAWA, Makoto YOSHIZAWA, },
journal={IEICE TRANSACTIONS on Information},
title={An Effective Method on Applying Feedback Error Learning Scheme to Functional Electrical Stimulation Controller},
year={2009},
volume={E92-D},
number={2},
pages={342-345},
abstract={A Feedback Error Learning (FEL) scheme was found to be applicable to joint angle control by Functional Electrical Stimulation (FES) in our previous study. However, the FEL-FES controller had a problem in learning of the inverse dynamics model (IDM) in some cases. In this paper, methods of applying the FEL to FES control were examined in controlling 1-DOF movement of the wrist joint stimulating 2 muscles through computer simulation under several control conditions with several subject models. The problems in applying FEL to FES controller were suggested to be in restricting stimulation intensity to positive values between the minimum and the maximum intensities and in the case of very small output values of the IDM. Learning of the IDM was greatly improved by considering the IDM output range with setting the minimum ANN output value in calculating ANN connection weight change.},
keywords={},
doi={10.1587/transinf.E92.D.342},
ISSN={1745-1361},
month={February},}
Copier
TY - JOUR
TI - An Effective Method on Applying Feedback Error Learning Scheme to Functional Electrical Stimulation Controller
T2 - IEICE TRANSACTIONS on Information
SP - 342
EP - 345
AU - Takashi WATANABE
AU - Kenji KUROSAWA
AU - Makoto YOSHIZAWA
PY - 2009
DO - 10.1587/transinf.E92.D.342
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2009
AB - A Feedback Error Learning (FEL) scheme was found to be applicable to joint angle control by Functional Electrical Stimulation (FES) in our previous study. However, the FEL-FES controller had a problem in learning of the inverse dynamics model (IDM) in some cases. In this paper, methods of applying the FEL to FES control were examined in controlling 1-DOF movement of the wrist joint stimulating 2 muscles through computer simulation under several control conditions with several subject models. The problems in applying FEL to FES controller were suggested to be in restricting stimulation intensity to positive values between the minimum and the maximum intensities and in the case of very small output values of the IDM. Learning of the IDM was greatly improved by considering the IDM output range with setting the minimum ANN output value in calculating ANN connection weight change.
ER -