Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yingzhan Lian"'
Publikováno v:
IEEE Access, Vol 7, Pp 180251-180257 (2019)
Axial flux motor design is normally depended on a designer's experience to adjust design parameters, which is vague and complex, for example, torque density and torque ripple are two key factors of a motor to restrain its development, since torque de
Externí odkaz:
https://doaj.org/article/9378bd141856446a901a5519a2d436d6
Publikováno v:
IEEE Access, Vol 7, Pp 103595-103607 (2019)
In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone,
Externí odkaz:
https://doaj.org/article/e2cb7a0bff51483e86fe597422c7c7d5
Publikováno v:
IEEE Access, Vol 7, Pp 180251-180257 (2019)
Axial flux motor design is normally depended on a designer's experience to adjust design parameters, which is vague and complex, for example, torque density and torque ripple are two key factors of a motor to restrain its development, since torque de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e9bd22082c254506e6e3e4728cb4215
https://doi.org/10.1109/access.2019.2958088
https://doi.org/10.1109/access.2019.2958088
Publikováno v:
2020 8th International Conference on Power Electronics Systems and Applications (PESA).
To improve the flux-weakening characteristics, Interior Permanent Magnet Synchronous Machines with Segmented Permanent Magnets (Segmented IPMSM) are investigated in this paper. At first, an improved magnetic circuit analysis model is deduced to expla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::489b1a45e892b9eb716929cfa89da507
https://doi.org/10.1109/pesa50370.2020.9343986
https://doi.org/10.1109/pesa50370.2020.9343986
Publikováno v:
2019 Chinese Control Conference (CCC).
This paper addresses the distributed adaptive concensus problem of multi-agent system with unknown output dead-zone. By combining adaptive neural control technique and dynamic surface error design, a local controller for each follower is constructed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5518636bba3270d2ce1267b948d0e69
https://doi.org/10.23919/chicc.2019.8865145
https://doi.org/10.23919/chicc.2019.8865145