Please use this identifier to cite or link to this item:
https://doi.org/10.1109/AIM.2013.6584196
DC Field | Value | |
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dc.title | FAT based adaptive control for a lower extremity rehabilitation device: Simulation results | |
dc.contributor.author | Li, J. | |
dc.contributor.author | Shen, B. | |
dc.contributor.author | Chew, C.-M. | |
dc.date.accessioned | 2014-06-19T05:35:25Z | |
dc.date.available | 2014-06-19T05:35:25Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Li, J., Shen, B., Chew, C.-M. (2013). FAT based adaptive control for a lower extremity rehabilitation device: Simulation results. 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013 : 828-832. ScholarBank@NUS Repository. https://doi.org/10.1109/AIM.2013.6584196 | |
dc.identifier.isbn | 9781467353199 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/73463 | |
dc.description.abstract | This paper concerns the control of a newly developed wearable lower extremity rehabilitation device intended to aid stroke patients who are in early phase of rehabilitation or severely affected. The device adopts an anthropomorphic structure actuated on hip and knee joint level in sagittal plane. The device and wearer system is modelled as a simplified two degree of freedom robotic structure with the wearer to be completely passive. Fourier series fitting method is used to obtain the desired hip and knee reference trajectory. Function Approximation Techniques (FAT) based adaptive control strategy is adopted and applied to track the desired gait trajectory. Simulation results show that good tracking performance is achieved, and actuator toques are within a reasonable range. This FAT based adaptive control algorithm could potentially be used in real-time applications. © 2013 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/AIM.2013.6584196 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | MECHANICAL ENGINEERING | |
dc.description.doi | 10.1109/AIM.2013.6584196 | |
dc.description.sourcetitle | 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013 | |
dc.description.page | 828-832 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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