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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
FEL(Feedback Error Learning) 방식은 이전 연구에서 FES(Functional Electrical Stimulation)에 의한 관절 각도 제어에 적용 가능한 것으로 밝혀졌습니다. 그러나 FEL-FES 제어기는 경우에 따라 역동역학 모델(IDM)을 학습하는 데 문제가 있었습니다. 본 논문에서는 여러 대상 모델을 대상으로 여러 제어 조건에서 컴퓨터 시뮬레이션을 통해 1개의 근육을 자극하는 손목 관절의 2-DOF 움직임을 제어할 때 FEL을 FES 제어에 적용하는 방법을 검토했습니다. FEL을 FES 제어기에 적용할 때의 문제점은 자극 강도를 최소 및 최대 강도 사이의 양의 값으로 제한하는 것과 IDM의 출력 값이 매우 작은 경우에 있는 것으로 제시되었습니다. ANN 연결 가중치 변화 계산 시 최소 ANN 출력값을 설정하여 IDM 출력 범위를 고려함으로써 IDM 학습이 크게 향상되었습니다.
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부
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
부
@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},}
부
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 -