Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Abbas Alili"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 895-903 (2023)
The tuning of robotic prosthesis control is essential to provide personalized assistance to individual prosthesis users. Emerging automatic tuning algorithms have shown promise to ease the device personalization procedure. However, very few automatic
Externí odkaz:
https://doaj.org/article/20aa29f2ea9142e899c742cef4ac8d10
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 66:2159-2163
Prostheses help amputees to maintain physical health and quality of life. Prosthesis wearers’ satisfaction and adherence to the prosthesis are closely related to the preferences for prosthesis tuning settings. However, the underlying factors that c
Using wearable robotics to modulate step width in normal walking for enhanced mediolateral balance has not been demonstrated in the field. We designed a bilateral hip exoskeleton with admittance control to power hip abduction and adduction to modulat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::182ecbbd2a88dfa7b3eb3820a1a203e6
https://doi.org/10.36227/techrxiv.22223191.v1
https://doi.org/10.36227/techrxiv.22223191.v1
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Autor:
Manafaddin Namazov, Abbas Alili
Publikováno v:
IFAC-PapersOnLine. 51:721-726
This paper aims to introduce a systematic design procedure that ensures the stability of nonlinear systems with saturation on output signal described by Takagi-Sugeno (T-S) fuzzy models. The overall design was acquired by the fuzzy “blending” of
Autor:
Manafeddin Namazov, Abbas Alili
Publikováno v:
Information Technologies and Control. 14:31-40
This paper deals with a systematic design procedure that guarantees the stability and optimal performance of the nonlinear systems described by Takagi-Sugeno fuzzy models. Takagi-Sugeno fuzzy model allows us to represent a nonlinear system by linear
Publikováno v:
2017 IEEE International Conference on Mechatronics and Automation (ICMA).
This paper describes a special type of fuzzy models with incomplete grid-type fuzzy rule base in the multidimensional input space. The number and locations of the fuzzy rules are automatically defined by the concrete distribution of the training data