Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Qikun Shen"'
Autor:
Kai Chen, Yilin Wang, Xiaoyan Nong, Yichi Zhang, Tang Tang, Yun Chen, Qikun Shen, Changjie Yan, Bing Lü
Publikováno v:
BMC Genomics, Vol 24, Iss 1, Pp 1-17 (2023)
Abstract Background Domains of unknown function (DUF) proteins are a number of uncharacterized and highly conserved protein families in eukaryotes. In plants, some DUFs have been predicted to play important roles in development and response to abioti
Externí odkaz:
https://doaj.org/article/e605efc12bba495195523f1137dfeba3
Autor:
Bing Lu, Qikun Shen
Publikováno v:
IEEE Access, Vol 9, Pp 131033-131041 (2021)
This article considers an adaptive control problem of genetic regulatory networks, where unknown sensor faults are considered. By using the function approximation capability of neural networks, a neural-networks-based gene circuit control method is d
Externí odkaz:
https://doaj.org/article/b018d22cf2ac405ba6aa76a7ffe319ec
Autor:
Hongmei Jiao, Qikun Shen
Publikováno v:
IEEE Access, Vol 8, Pp 125234-125243 (2020)
This paper investigates the adaptive distributed synchronization control problem of multi-agent systems, where the information transmission in the network is subject to unknown constant signal transmission delay. Firstly, an adaptive distributed cont
Externí odkaz:
https://doaj.org/article/4cbad2baf7fb48c0968937ad97fd534b
Autor:
Xiaoxiao Zheng, Qikun Shen
Publikováno v:
IEEE Access, Vol 8, Pp 56510-56517 (2020)
The adaptive fault tolerant control (FTC) problem is investigated for a class of high-order strict-feedback nonlinear systems with the actuator faults, and an adaptive fault tolerant control strategy is proposed in this paper. Compared with the tradi
Externí odkaz:
https://doaj.org/article/a79ad603f3564dc6aa38c4e37a294258
Autor:
Hongmei Jiao, Qikun Shen
Publikováno v:
IEEE Access, Vol 8, Pp 174507-174515 (2020)
In this paper, based on the latest discovery of epidemiology, a more general SEIR epidemic model is firstly proposed and its main properties such as positivity and boundedness have been analyzed and proven. Meanwhile, a method is proposed to solve ba
Externí odkaz:
https://doaj.org/article/32a05d2f684a4063a388f4893eb1ec53
Autor:
Xiaoxiao Zheng, Qikun Shen
Publikováno v:
International Journal of Control, Automation and Systems. 21:12-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32d6a6d56fe226aaa8ce2a511430cc65
https://doi.org/10.1007/s12555-021-0216-8
https://doi.org/10.1007/s12555-021-0216-8
Autor:
Zhiyao Sun, Qikun Shen
Publikováno v:
Circuits, Systems, and Signal Processing. 42:1438-1456
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3523c81c5a4e7486f5682aed61c31a1
https://doi.org/10.1007/s00034-022-02171-8
https://doi.org/10.1007/s00034-022-02171-8
Publikováno v:
IEEE Transactions on Fuzzy Systems. 29:252-261
In this article, the distributed synchronization control problem is investigated for a class of uncertain nonlinear leader-following systems on directed graph, where unknown backlash-like hysteresis exists in the actuator of each follower and the top
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::920d119dea193f81f61d227a23b82a8b
https://doi.org/10.1109/tfuzz.2020.2992864
https://doi.org/10.1109/tfuzz.2020.2992864
Autor:
Qikun Shen, Bing Lu
Publikováno v:
IEEE Access, Vol 9, Pp 131033-131041 (2021)
This article considers an adaptive control problem of genetic regulatory networks, where unknown sensor faults are considered. By using the function approximation capability of neural networks, a neural-networks-based gene circuit control method is d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fa3e664e1da341c3e1010c0f9e6f33c
https://doi.org/10.1109/access.2021.3113988
https://doi.org/10.1109/access.2021.3113988
Distributed adaptive output-feedback fault tolerant control for nonlinear systems with sensor faults
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 38:4173-4190
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc1d076a747cdfc3dbcba5ace06d4553
https://doi.org/10.3233/jifs-190531
https://doi.org/10.3233/jifs-190531