Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yijiang Du"'
Autor:
Yijiang Du, Tingting Wang, Linhao Qu, Haiming Li, Qinhao Guo, Haoran Wang, Xinyuan Liu, Xiaohua Wu, Zhijian Song
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 472 (2024)
In the study of the deep learning classification of medical images, deep learning models are applied to analyze images, aiming to achieve the goals of assisting diagnosis and preoperative assessment. Currently, most research classifies and predicts n
Externí odkaz:
https://doaj.org/article/12f0787dad134ce582f4c67207c2ecdb
Publikováno v:
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca655560303e5e9cbd76c071d546cdf4
https://doi.org/10.1109/icpsasia55496.2022.9949925
https://doi.org/10.1109/icpsasia55496.2022.9949925
Publikováno v:
Acta Astronautica. 126:258-264
During the reentry process of reusable launch vehicles (RLVs), the large range of flight envelope will not only result in high nonlinearities, strong coupling and fast time-varying characteristics of the attitude dynamics, but also result in great un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65d3fedc06ce9dfacbc2aedf04d8cd2c
https://doi.org/10.1016/j.actaastro.2016.04.015
https://doi.org/10.1016/j.actaastro.2016.04.015
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 230:19-29
To attenuate the effects of parameter uncertainties and disturbances on the attitude control performance of entry reusable launch vehicles, an adaptive sliding mode backstepping controller based on nonlinear disturbance observer, here referred to as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de854adb6c1fbc89be9902788913b37a
https://doi.org/10.1177/0954410015586859
https://doi.org/10.1177/0954410015586859
Publikováno v:
2015 34th Chinese Control Conference (CCC); 2015, p5687-5690, 4p
Publikováno v:
27th Chinese Control & Decision Conference (2015 CCDC); 2015, p2330-2335, 6p