Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Xinyuan Nan"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5071-5081 (2024)
Abstract To solve a distributed optimal resource allocation problem, a collective neurodynamic approach based on recurrent neural networks (RNNs) is proposed in this paper. Multiple RNNs cooperatively solve a global constrained optimization problem i
Externí odkaz:
https://doaj.org/article/9f1905bcc72246c1ae9a6d96aba5efa7
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 45, Iss 1, Pp 91-100 (2024)
To solve the problem of ineffective monitoring indoor air quality in the environment of numerous and uneven distributed polluting gases with a single sensor, and the issue of indoor obstacles affecting the sensor deployment, the improved Northern Gos
Externí odkaz:
https://doaj.org/article/755df163158046cd872f0082e7f26af3
Publikováno v:
Archives of Control Sciences, Vol vol. 32, Iss No 4, Pp 783-800 (2022)
This paper addresses the problem of seeking generalized Nash equilibrium for constrained aggregative games with double-integrator agents who communicate with each other on an unbalanced directed graph. An auxiliary variable is introduced to balance t
Externí odkaz:
https://doaj.org/article/75ffb4be058f4c0d80605a96940e099a
Publikováno v:
Sensors, Vol 20, Iss 16, p 4533 (2020)
The process of extracting gold by biological oxidation involves oxidizing the refractory high-sulfur and high-arsenic ore with the help of bacteria to decompose the wrapping material of gold to extract the gold. Therefore, maximizing the activity of
Externí odkaz:
https://doaj.org/article/a8bb141a8fe148fea51536e875c774d7
Publikováno v:
Sensors, Vol 19, Iss 1, p 64 (2018)
Biological oxidation pretreatment, which can improve the yield of gold, is the main gold extraction technology for disposing refractory gold ore with high arsenic and sulfur. The temperature of the oxidation tank influences the oxidation efficiency b
Externí odkaz:
https://doaj.org/article/4268fc830bcc45f6bd0e77705d22f5b2
Publikováno v:
International Journal of Robust and Nonlinear Control. 33:3790-3806
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a31dac133775244bb9149321714a6c6
https://doi.org/10.1002/rnc.6596
https://doi.org/10.1002/rnc.6596
Publikováno v:
International Journal of Robust and Nonlinear Control. 33:3947-3960
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8180d510ac5d8de3058755f912064056
https://doi.org/10.1002/rnc.6593
https://doi.org/10.1002/rnc.6593
Publikováno v:
IEEE Sensors Journal. 23:6-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d01845a4787c2ffe35d478bc4da57f8
https://doi.org/10.1109/jsen.2022.3222510
https://doi.org/10.1109/jsen.2022.3222510
Publikováno v:
Asian Journal of Control. 25:2239-2248
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a9a6026af3c755b8ed42602281d297d
https://doi.org/10.1002/asjc.2904
https://doi.org/10.1002/asjc.2904
Publikováno v:
IEEE Transactions on Power Systems. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d596c361c1a2a81a070b14104976c8db
https://doi.org/10.1109/tpwrs.2022.3215897
https://doi.org/10.1109/tpwrs.2022.3215897