Comparison of different fuzzy controllers for powered prosthetic gait
Caltenco, Héctor LU
; Meléndez-Calderón, Alejandro
; Dosen, Strahinja
and Chong-Quero, Jesus E.
(2007)
Electronics, Robotics and Automotive Mechanics Conference, CERMA
p.656-656
- Abstract
- This paper compares the fuzzy controllers trained with three different data-based methodologies for the control of the active knee joint of a powered transfemoral prosthesis. For each methodology a different inference system structure and number of generated rules was produced. The control is optimized using adaptive Neuro-Fuzzy optimization techniques and it is aimed to work at different speeds within normal gait.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3045330
- author
- Caltenco, Héctor
LU
; Meléndez-Calderón, Alejandro
; Dosen, Strahinja
and Chong-Quero, Jesus E.
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings Electronics, Robotics and Automotive Mechanics Conference
- pages
- 656 - 656
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- Electronics, Robotics and Automotive Mechanics Conference, CERMA
- conference location
- Cuernavaca, Mexico
- conference dates
- 2007-09-25
- external identifiers
-
- scopus:47349105219
- ISBN
- 0-7695-2974-7
- 978-0-7695-2974-5
- language
- English
- LU publication?
- no
- additional info
- Journal Article
- id
- 6ae813db-9ade-47bf-a08c-1ee114fe6424 (old id 3045330)
- date added to LUP
- 2016-04-04 11:16:41
- date last changed
- 2022-01-29 21:36:26
@inproceedings{6ae813db-9ade-47bf-a08c-1ee114fe6424,
abstract = {{This paper compares the fuzzy controllers trained with three different data-based methodologies for the control of the active knee joint of a powered transfemoral prosthesis. For each methodology a different inference system structure and number of generated rules was produced. The control is optimized using adaptive Neuro-Fuzzy optimization techniques and it is aimed to work at different speeds within normal gait.}},
author = {{Caltenco, Héctor and Meléndez-Calderón, Alejandro and Dosen, Strahinja and Chong-Quero, Jesus E.}},
booktitle = {{Proceedings Electronics, Robotics and Automotive Mechanics Conference}},
isbn = {{0-7695-2974-7}},
language = {{eng}},
pages = {{656--656}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Comparison of different fuzzy controllers for powered prosthetic gait}},
year = {{2007}},
}