Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Shuangshuang Xiong"'
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5527 (2024)
This paper studies the containment control problem of heterogeneous multi-agent systems (MASs) with multiple leaders. The follower agent dynamics are assumed to be unknown and nonlinear. First, each follower is transformed into an incremental data de
Externí odkaz:
https://doaj.org/article/9ea2d4b7ad9949ae9709696ac0c82336
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5296 (2024)
To improve the upright balancing performance of the two-wheeled self-balancing car, this paper proposes an attitude estimation algorithm based on fuzzy Kalman filtering. Fuzzy logic is used to correct the inclination angle and angular velocity of the
Externí odkaz:
https://doaj.org/article/5ed23771ac114467bcb5ab38c72852d6
Autor:
Zhongsheng Hou, Shuangshuang Xiong
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:7728-7742
A data-driven distributed formation control algorithm is proposed for an unknown heterogeneous non-affine nonlinear discrete-time MIMO multi-agent system (MAS) with sensor fault. For the considered unknown MAS, the dynamic linearization technique in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5af3efcb0d842b3bbbf1b270a4d35dc
https://doi.org/10.1109/tnnls.2021.3087481
https://doi.org/10.1109/tnnls.2021.3087481
Autor:
Shuangshuang Xiong, Zhongsheng Hou
Publikováno v:
International Journal of Robust and Nonlinear Control. 32:9421-9437
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f40294c8349e791cea1722e808d081f
https://doi.org/10.1002/rnc.6016
https://doi.org/10.1002/rnc.6016
Autor:
Maoxu Xiao, Meiqi Zhu, Shuangjie Wu, Luyu Ma, Lin Qi, Si Ha, Shuangshuang Xiong, Mingqi Chen, Deying Chen, Guoshun Luo, Hua Xiang
Publikováno v:
Bioorganic chemistry. 130
Bruton's tyrosine kinase (BTK) is a promising drug target for the treatment of B-cell related malignancies. Irreversible inhibition of BTK by a covalent inhibitor has been proved to be a clinically effective therapy. However, most irreversible BTK in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ce6fc8452461da81b77023c17271822
https://pubmed.ncbi.nlm.nih.gov/36375350
https://pubmed.ncbi.nlm.nih.gov/36375350
Publikováno v:
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d23b844b53aed5d53c79430bffea8de7
https://doi.org/10.1109/ddcls55054.2022.9858501
https://doi.org/10.1109/ddcls55054.2022.9858501
Autor:
Shuangshuang Xiong, Xin Wang, Meiqi Zhu, Ke Song, Yefan Li, Jiaqi Yang, Xinyan Liu, Mofei Liu, Haijuan Dong, Mingqi Chen, Deying Chen, Hua Xiang, Guoshun Luo
Publikováno v:
Bioorganic Chemistry. 134:106459
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9324bf96e958795f819e6d2fabc71a36
https://doi.org/10.1016/j.bioorg.2023.106459
https://doi.org/10.1016/j.bioorg.2023.106459
Publikováno v:
International Journal of Robust and Nonlinear Control. 30:6330-6350
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65249ab0423ac31d1adbf65eb2486b9a
https://doi.org/10.1002/rnc.5097
https://doi.org/10.1002/rnc.5097
Autor:
Shuangshuang Xiong, Zhongsheng Hou
Publikováno v:
IEEE Transactions on Automatic Control. 64:4555-4569
In this paper, the main issues of model-based control methods are first reviewed, followed by the motivations and the state of the art of the model-free adaptive control (MFAC). MFAC is a novel data-driven control method for a class of unknown nonaff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64f81c9dd77f39449215477287ae66ca
https://doi.org/10.1109/tac.2019.2894586
https://doi.org/10.1109/tac.2019.2894586
Publikováno v:
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS).
In this note, two kinds of distributed model free adaptive PID controllers are proposed to solve the consensus tracking problem for a class of unknown heterogenous nonaffine nonlinear discrete-time multi-agent systems based on the technique of dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c952c84b0a5b89f90354fd6de713abd4
https://doi.org/10.1109/ddcls52934.2021.9455465
https://doi.org/10.1109/ddcls52934.2021.9455465